{ "metadata": { "name": "frontiers-nb-2015" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Introduction\n", "The largest challenge facing the usage of metagenomic approaches in microbiology is the need to extend traditional microbiology training to include metagenomic or sequencing data analysis. Sean Eddy (a compuational biologist at the Howard Hughes Medical Institute) nicely describes the impacts of high throughput sequencing on biology and its training in his keynote address (http://cryptogenomicon.org/2014/11/01/high-throughput-sequencing-for-neuroscience/#more-858).\n", "\n", "To facilitate the barriers to microbiologists for metagenomic assembly, we have complemented this review with a tutorial of how to estimate the abundance of reference sequences (e.g., genes, contigs, etc.) in a metagenome. We include approaches that include using references that are both (i) available genome references or (ii) assembled from the metagenome. In general, to complete this tutorial and most metagenomic assembly, one would need:\n", "\n", "* Access to a server. Most metagenomic assembly will require more memory than most researchers will have on their personal computers. In this tutorial, we will provide training on the publicly accessible Amazon EC2 instances which can be rented by anyone with a registered account.\n", "* Access to a metagenomic dataset. We have selected the usage of the HMP Mock Community WGS dataset (http://www.hmpdacc.org/HMMC/) for this tutorial given its availability, practical size, and availability of reference genomes. This dataset represents a mock metagenome of 22 known organisms for which DNA was extracted from cultured isolates, combined, and sequenced.\n", "* Software for assembly, read mapping, and annotation. We will demonstrate the installation of this software on an Ubuntu-based server.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 0. Getting on the same page.\n", "\n", "The first step in this tutorial is to provide all users access to a server for which these instructions can be used, regardless of what computer you may be on. To do this, we'll be using cloud computing. More specifically, Amazon Web Services Elastic Compute Cloud.\n", "To rent compute time off of Amazon Web Services, you'll have to sign up and pay with a credit card. The cost is pretty manageable, http://aws.amazon.com/ec2/pricing/. You should be able to complete this tutorial in less than four hours, which comes out to < $1.\n", "\n", "Once you are signed up for Amazon Web Services, you need to follow some instructions to launch a cloud \"instance\" or server. For this tutorial, we suggest you use the instructions from the Data Science Toolbox, http://datasciencetoolbox.org/#bundles. A couple things to note prior to running through those instructions:\n", "\n", "* Choose the \"in the cloud\" instructions\n", "* You can choose any AMI but we suggest US EAST, ami-d1737bb8\n", "* When you configure your instance, choose the m3.large instance\n", "* Do not forget to \"Add rule\" as described in the directions in Data Science Toolbox Step 2: Add a \"custom TCP rule\" for port \"8888\" and source \"Anywhere\".\n", "* Complete the Data Science Instructions through Step 4. Once you get to Step 5, refer below.\n", "\n", "If you have trouble logging into your instance and you are on a Mac or Linux OS: \n", "\n", "* Check to see that you changed permissions on your key file (the one that ends in *.pem)\n", "* Make sure you run the ssh command to log into the instance in the same directory as your security file or specify the location of that file\n", "\n", "Once you are logged into the instance, for example, you've successfully run the following command (except you'll have your own security file uniquely named and your own special EC2 address):\n", "\n", " $ ssh -i MyKeyPair.pem ubuntu@ec2-XX-XX-XX-XXX.compute-1.amazonaws.com\n", "\n", "And you now have a command line that looks like:\n", "\n", " ubuntu@ip-10-181-106-120:\n", "\n", "You need to do a couple things to get this tutorial running:\n", "\n", "Copy and paste the following commands one by one into your command line and press ENTER after each one:\n", "\n", " cd /mnt\n", " \n", " sudo git clone https://github.com/germs-lab/frontiers-review-2015.git\n", "\n", "\n", "Next, copy and paste the following command and enter a notebook password of your choice when prompted:\n", "\n", " dst setup base\n", "\n", "Then, copy and paste this command:\n", "\n", " sudo ipython notebook --profile=dst --notebook-dir=/mnt/frontiers-review-2015\n", "\n", "This will start up an IPython Notebook for this tutorial. Leave the terminal screen open and find your internet browser, preferablly Google Chrome. You'll also need the address for your EC2 instance public DNS that you used to log in above \"e.g., ec2-XX-XX-XX-XXX\". If you don't know it, you can always check on your AWS EC2 dashboard (see running instances) here, https://console.aws.amazon.com/ec2/v2/.\n", "\n", "On your web browser, navigate to https://ec2-XX-XX-XX-XXX:8888 (except with your specific EC2 public DNS). Almost all web browsers will have a message that says you're heading to an unsafe place. Don't be alarmed. On Chrome, you can hit the \"Advanced\" options link and hit \"Proceed anyways\". Then, type in the password (password is the one you chose above), and voila, you'll see a notebook that contains this text called \"frontiers-nb-2015\".\n", "\n", " \n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1. How to use this IPython Notebook\n", "IPython notebooks are very useful to collaboratively train bioinformatics. These notebooks have recently been featured in Nature News (http://www.nature.com/news/interactive-notebooks-sharing-the-code-1.16261 and http://www.nature.com/news/programming-pick-up-python-1.16833)\n", "\n", "In using these notebooks, there are a few imporant things to note. There are two types of content in this tutorial: text and code. This content is placed in this notebook as \"cells\". If you click around on this page, you'll see different cells highlighted. To execute each cell (regardless of content), you hit on your keyboard SHIFT+ENTER. If the cell contains text, the content will be displayed directly. If the cell contains code, the code will then execute. Also, you can execute all cells in the notebook by going to the Cell tab where \"File, Edit, View, Insert, Cell...\" are in the top left of this webpage and selecting _Run all_." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2. Download the tutorial dataset.\n", "\n", "We will begin this tutorial by downloading the HMP mock metagenome from the NCBI Short Read Archives (SRA). Many public metagenomes are stored as SRA files in the NCBI. The easiest way to get these SRA files is to use a special set of tools called the *sratoolkit*. If you have your dataset SRA run ID (in this case SRR172903), you can download the dataset and convert it to the standard \"fasta\" or \"fastq\" sequencing format is to use a special program to convert the file. \n", "\n" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!wget http://ftp-trace.ncbi.nlm.nih.gov/sra/sdk/2.4.5-2/sratoolkit.2.4.5-2-ubuntu64.tar.gz" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "--2015-06-26 13:48:38-- http://ftp-trace.ncbi.nlm.nih.gov/sra/sdk/2.4.5-2/sratoolkit.2.4.5-2-ubuntu64.tar.gz\r\n", "Resolving ftp-trace.ncbi.nlm.nih.gov (ftp-trace.ncbi.nlm.nih.gov)... 130.14.250.11, 2607:f220:41e:250::10\r\n", "Connecting to ftp-trace.ncbi.nlm.nih.gov (ftp-trace.ncbi.nlm.nih.gov)|130.14.250.11|:80... connected.\r\n", "HTTP request sent, awaiting response... 200 OK\r\n", "Length: 62432226 (60M) [application/x-gzip]\r\n", "Saving to: \u2018sratoolkit.2.4.5-2-ubuntu64.tar.gz\u2019\r\n", "\r\n", "\r", " 0% [ ] 0 --.-K/s " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r", " 4% [> ] 2,594,464 11.5MB/s " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r", "29% [==========> ] 18,323,104 41.9MB/s " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r", "71% [===========================> ] 44,926,376 68.9MB/s " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r", "100%[======================================>] 62,432,226 73.7MB/s in 0.8s \r\n", "\r\n", "2015-06-26 13:48:39 (73.7 MB/s) - \u2018sratoolkit.2.4.5-2-ubuntu64.tar.gz\u2019 saved [62432226/62432226]\r\n", "\r\n" ] } ], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "!tar -xvf sratoolkit.2.4.5-2-ubuntu64.tar.gz" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "sratoolkit.2.4.5-2-ubuntu64/\r\n", "sratoolkit.2.4.5-2-ubuntu64/README\r\n", 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"sratoolkit.2.4.5-2-ubuntu64/bin/test-sra.2.4.5\r\n", "sratoolkit.2.4.5-2-ubuntu64/bin/vdb-config\r\n", "sratoolkit.2.4.5-2-ubuntu64/bin/vdb-config.2\r\n", "sratoolkit.2.4.5-2-ubuntu64/bin/vdb-config.2.4.5\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "sratoolkit.2.4.5-2-ubuntu64/bin/vdb-copy\r\n", "sratoolkit.2.4.5-2-ubuntu64/bin/vdb-copy.2\r\n", "sratoolkit.2.4.5-2-ubuntu64/bin/vdb-copy.2.4.5\r\n", "sratoolkit.2.4.5-2-ubuntu64/bin/vdb-decrypt\r\n", "sratoolkit.2.4.5-2-ubuntu64/bin/vdb-decrypt.2\r\n", "sratoolkit.2.4.5-2-ubuntu64/bin/vdb-decrypt.2.4.5\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "sratoolkit.2.4.5-2-ubuntu64/bin/vdb-dump\r\n", "sratoolkit.2.4.5-2-ubuntu64/bin/vdb-dump.2\r\n", "sratoolkit.2.4.5-2-ubuntu64/bin/vdb-dump.2.4.5\r\n", "sratoolkit.2.4.5-2-ubuntu64/bin/vdb-encrypt\r\n", "sratoolkit.2.4.5-2-ubuntu64/bin/vdb-encrypt.2\r\n", "sratoolkit.2.4.5-2-ubuntu64/bin/vdb-encrypt.2.4.5\r\n" ] }, { "output_type": "stream", "stream": 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"sratoolkit.2.4.5-2-ubuntu64/example/perl/mismatch-stats.pl\r\n", "sratoolkit.2.4.5-2-ubuntu64/example/perl/quality-stats.pl\r\n", "sratoolkit.2.4.5-2-ubuntu64/example/perl/simplefastq.pl\r\n", "sratoolkit.2.4.5-2-ubuntu64/example/perl/splitfastq.pl\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/align/\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/align/align.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/align/mate-cache.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/align/qstat.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/align/refseq.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/align/seq.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/insdc/\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/insdc/insdc.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/insdc/seq.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/insdc/sra.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/ncbi/\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/ncbi/clip.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/ncbi/ncbi.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/ncbi/pnbrdb.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/ncbi/seq-graph.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/ncbi/seq.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/ncbi/spotname.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/ncbi/sra.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/ncbi/stats.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/ncbi/varloc.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/ncbi/wgs-contig.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/sra/\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/sra/454.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/sra/abi.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/sra/helicos.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/sra/illumina.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/sra/ion-torrent.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/sra/pacbio.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/sra/pevents.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/vdb/\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/vdb/built-in.vschema\r\n", "sratoolkit.2.4.5-2-ubuntu64/schema/vdb/vdb.vschema\r\n" ] } ], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can see that we now have a file containing the software with the \"ls\" command. You'll also see this notebook in the list of files in the present location we are working in." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!ls" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "assemstats3.py\t\t khmer-install.sh\r\n", "bowtie.sh\t\t kmer-count-plot.py\r\n", "fastx_install.sh\t LICENSE.md\r\n", "fetch-genomes-fasta.py\t ncbi_acc.txt\r\n", "fraggenescan-install.sh README.md\r\n", "frontiers-nb-2015.bu.ipynb remove_output.py\r\n", "frontiers-nb-2015.ipynb sratoolkit.2.4.5-2-ubuntu64\r\n", "install-megahit.sh\t sratoolkit.2.4.5-2-ubuntu64.tar.gz\r\n", "ipython_notebook_config.py unique-kmers.py\r\n", "khmer\r\n" ] } ], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we'll use the installed sratoolkit program to download the HMP mock dataset in \"fastq\" format. (This takes a minute or two. You'll find that patience is require for working with metagenomes. The nice thing about working in the cloud is that you are \"renting\" the computational power so it is not using your personal computer's memory -- freeing it up for things you can do while waiting. You'll note that you can see that \"Kernel busy\" will be shown on the top-right corner of the screen below \"Logout\" button.)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!sratoolkit.2.4.5-2-ubuntu64/bin/fastq-dump SRR172903" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Read 7932819 spots for SRR172903\r\n", "Written 7932819 spots for SRR172903\r\n" ] } ], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 3. Quality control\n", "\n", "There are a number of methods to determine the quality of the sequencing data that you will assemble. First, one can look at the quality scores of your sequencing reads and if desired, trim reads with quality scores that are not sufficient for your needs. A vast number of tools are available to perform quality trimming of sequencing reads, including tools with nice tutorials including FastX Toolkit (http://hannonlab.cshl.edu/fastx_toolkit/ and http://khmer-protocols.readthedocs.org/en/v0.8-1/metagenomics/1-quality.html), FastQC (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/ and http://ged.msu.edu/angus/tutorials-2013/short-read-quality-evaluation.html) and Sickle (https://github.com/najoshi/sickle and http://2014-5-metagenomics-workshop.readthedocs.org/en/latest/assembly/qtrim.html).\n", " \n", "The sequencing data file you have downloaded is a \"fastq\" text file, where data describing each sequencing read is shown on four lines. Let's take a quick look:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!head -n 4 SRR172903.fastq" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "@SRR172903.1 USI-EAS376:2:1:2:1414 length=75\r\n", "CTTACCACCAGGAACNAACTTTGAGATTCCAAAAGATCGAGTACCAGAGGGATGGACAGTAACAGTAGATCCAGA\r\n", "+SRR172903.1 USI-EAS376:2:1:2:1414 length=75\r\n", "BB@BBBABB????<=%04@@>A?6><A@AA8@>59==???88790525=###########\r\n" ] } ], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "* This first line (starting with \"@SRR172903.1\") is the read identifier, it usually shows the read ID, some information for the sequencing facility about the run that it was obtained on.\n", "* The second line is the DNA sequence.\n", "* The third line is the same as the first line but replacing the \"@\" with a \"+\", sometimes this is only a \"+\" in some datasets\n", "* The fourth line gives you information on the quality score of each base pair for the DNA sequence. Note that it is the same length as the DNA sequence and that quality scores are based on ASCII character scores (with an offset determined by the sequencing technology, Illumina is currently an offset of 64, e.g., ASCII code 64 = 0 Phred score). The quality score is equal to the -10 * log (p), where p is the probability of the base being called wrong (e.g., if Q= 20, p=0.01, 1% probability base is called wrong). \n", "\n", "For this tutorial, we will be removing reads that have more than 50% of the read length with a Phred score of less than 33. We will be using Fastx-Toolkit (http://hannonlab.cshl.edu/fastx_toolkit/commandline.html) which can be used for many types of quality control (e.g., adapter trimming). First, we will download, uncompress, and then install this program." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!wget https://github.com/agordon/fastx_toolkit/releases/download/0.0.14/fastx_toolkit-0.0.14.tar.bz2\n", "!wget https://github.com/agordon/libgtextutils/releases/download/0.7/libgtextutils-0.7.tar.gz" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "--2015-06-26 13:49:56-- https://github.com/agordon/fastx_toolkit/releases/download/0.0.14/fastx_toolkit-0.0.14.tar.bz2\r\n", "Resolving github.com (github.com)... 192.30.252.131\r\n", "Connecting to github.com (github.com)|192.30.252.131|:443... connected.\r\n", "HTTP request sent, awaiting response... 302 Found\r\n", "Location: https://s3.amazonaws.com/github-cloud/releases/14233196/f0821c9e-764e-11e3-99f0-a5603899c05f.bz2?response-content-disposition=attachment%3B%20filename%3Dfastx_toolkit-0.0.14.tar.bz2&response-content-type=application/octet-stream&AWSAccessKeyId=AKIAISTNZFOVBIJMK3TQ&Expires=1435326656&Signature=Djr691B6%2B06IT0vVIfSLO%2FT1PF8%3D [following]\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "--2015-06-26 13:49:56-- https://s3.amazonaws.com/github-cloud/releases/14233196/f0821c9e-764e-11e3-99f0-a5603899c05f.bz2?response-content-disposition=attachment%3B%20filename%3Dfastx_toolkit-0.0.14.tar.bz2&response-content-type=application/octet-stream&AWSAccessKeyId=AKIAISTNZFOVBIJMK3TQ&Expires=1435326656&Signature=Djr691B6%2B06IT0vVIfSLO%2FT1PF8%3D\r\n", "Resolving s3.amazonaws.com (s3.amazonaws.com)... 54.231.13.104\r\n", "Connecting to s3.amazonaws.com (s3.amazonaws.com)|54.231.13.104|:443... connected.\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "HTTP request sent, awaiting response... " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "200 OK\r\n", "Length: 543018 (530K) [application/octet-stream]\r\n", "Saving to: \u2018fastx_toolkit-0.0.14.tar.bz2\u2019\r\n", "\r\n", "\r", " 0% [ ] 0 --.-K/s \r", "100%[======================================>] 543,018 --.-K/s in 0.01s \r\n", "\r\n", "2015-06-26 13:49:56 (35.1 MB/s) - \u2018fastx_toolkit-0.0.14.tar.bz2\u2019 saved [543018/543018]\r\n", "\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "--2015-06-26 13:49:56-- https://github.com/agordon/libgtextutils/releases/download/0.7/libgtextutils-0.7.tar.gz\r\n", "Resolving github.com (github.com)... 192.30.252.131\r\n", "Connecting to github.com (github.com)|192.30.252.131|:443... connected.\r\n", "HTTP request sent, awaiting response... 302 Found\r\n", "Location: https://s3.amazonaws.com/github-cloud/releases/14094273/4a8d6664-764d-11e3-8b5c-5a4aa996a4a9.gz?response-content-disposition=attachment%3B%20filename%3Dlibgtextutils-0.7.tar.gz&response-content-type=application/octet-stream&AWSAccessKeyId=AKIAISTNZFOVBIJMK3TQ&Expires=1435326656&Signature=q1YeK9XyC4UMf3nD0Xuu0NvBxvE%3D [following]\r\n", "--2015-06-26 13:49:56-- https://s3.amazonaws.com/github-cloud/releases/14094273/4a8d6664-764d-11e3-8b5c-5a4aa996a4a9.gz?response-content-disposition=attachment%3B%20filename%3Dlibgtextutils-0.7.tar.gz&response-content-type=application/octet-stream&AWSAccessKeyId=AKIAISTNZFOVBIJMK3TQ&Expires=1435326656&Signature=q1YeK9XyC4UMf3nD0Xuu0NvBxvE%3D\r\n", "Resolving s3.amazonaws.com (s3.amazonaws.com)... 54.231.13.104\r\n", "Connecting to s3.amazonaws.com (s3.amazonaws.com)|54.231.13.104|:443... connected.\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "HTTP request sent, awaiting response... " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "200 OK\r\n", "Length: 358602 (350K) [application/octet-stream]\r\n", "Saving to: \u2018libgtextutils-0.7.tar.gz\u2019\r\n", "\r\n", "\r", " 0% [ ] 0 --.-K/s \r", "100%[======================================>] 358,602 --.-K/s in 0.01s \r\n", "\r\n", "2015-06-26 13:49:56 (28.4 MB/s) - \u2018libgtextutils-0.7.tar.gz\u2019 saved [358602/358602]\r\n", "\r\n" ] } ], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "!tar -xvf fastx_toolkit-0.0.14.tar.bz2\n", "!tar -xvf libgtextutils-0.7.tar.gz" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "fastx_toolkit-0.0.14/\r\n", "fastx_toolkit-0.0.14/Makefile.in\r\n", "fastx_toolkit-0.0.14/m4/\r\n", "fastx_toolkit-0.0.14/m4/Makefile.in\r\n", "fastx_toolkit-0.0.14/m4/ax_cxx_header_stdcxx_tr1.m4\r\n", "fastx_toolkit-0.0.14/m4/libtool.m4\r\n", "fastx_toolkit-0.0.14/m4/ax_c_long_long.m4\r\n", 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}; })\r\n", "libtool: install: (cd /usr/local/lib && { ln -s -f libgtextutils-0.7.so.0.0.0 libgtextutils.so || { rm -f libgtextutils.so && ln -s libgtextutils-0.7.so.0.0.0 libgtextutils.so; }; })\r\n", "libtool: install: /usr/bin/install -c .libs/libgtextutils.lai /usr/local/lib/libgtextutils.la\r\n", "libtool: install: /usr/bin/install -c .libs/libgtextutils.a /usr/local/lib/libgtextutils.a\r\n", "libtool: install: chmod 644 /usr/local/lib/libgtextutils.a\r\n", "libtool: install: ranlib /usr/local/lib/libgtextutils.a\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "libtool: finish: PATH=\"/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/sbin\" ldconfig -n /usr/local/lib\r\n", "----------------------------------------------------------------------\r\n", "Libraries have been installed in:\r\n", " /usr/local/lib\r\n", "\r\n", "If you ever happen to want to link against installed libraries\r\n", "in a given directory, LIBDIR, you must either use libtool, and\r\n", "specify the full pathname of the library, or use the `-LLIBDIR'\r\n", "flag during linking and do at least one of the following:\r\n", " - add LIBDIR to the `LD_LIBRARY_PATH' environment variable\r\n", " during execution\r\n", " - add LIBDIR to the `LD_RUN_PATH' environment variable\r\n", " during linking\r\n", " - use the `-Wl,-rpath -Wl,LIBDIR' linker flag\r\n", " - have your system administrator add LIBDIR to `/etc/ld.so.conf'\r\n", "\r\n", "See any operating system documentation about shared libraries for\r\n", "more information, such as the ld(1) and ld.so(8) manual pages.\r\n", "----------------------------------------------------------------------\r\n", " /bin/mkdir -p '/usr/local/include/gtextutils/gtextutils'\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " /usr/bin/install -c -m 644 container_join.h text_line_reader.h stream_wrapper.h natsort.h strnatcmp.h outbuf3.hpp inbuf1.hpp tuple_parser.h exit_manip.h string_tokenize.h pipe_fitter.h '/usr/local/include/gtextutils/gtextutils'\r\n", "make[3]: Leaving directory `/mnt/frontiers-review-2015/libgtextutils-0.7/src/gtextutils'\r\n", "make[2]: Leaving directory `/mnt/frontiers-review-2015/libgtextutils-0.7/src/gtextutils'\r\n", "make[2]: Entering directory `/mnt/frontiers-review-2015/libgtextutils-0.7/src'\r\n", "make[3]: Entering directory `/mnt/frontiers-review-2015/libgtextutils-0.7/src'\r\n", "make[3]: Nothing to be done for `install-exec-am'.\r\n", "make[3]: Nothing to be done for `install-data-am'.\r\n", "make[3]: Leaving directory `/mnt/frontiers-review-2015/libgtextutils-0.7/src'\r\n", "make[2]: Leaving directory `/mnt/frontiers-review-2015/libgtextutils-0.7/src'\r\n", "make[1]: Leaving directory `/mnt/frontiers-review-2015/libgtextutils-0.7/src'\r\n", "Making install in doc\r\n", "make[1]: Entering directory `/mnt/frontiers-review-2015/libgtextutils-0.7/doc'\r\n", "make[2]: Entering directory `/mnt/frontiers-review-2015/libgtextutils-0.7/doc'\r\n", "make[2]: Nothing to be done for `install-exec-am'.\r\n", "make[2]: Nothing to be done for `install-data-am'.\r\n", "make[2]: Leaving directory `/mnt/frontiers-review-2015/libgtextutils-0.7/doc'\r\n", "make[1]: Leaving directory `/mnt/frontiers-review-2015/libgtextutils-0.7/doc'\r\n", "Making install in tests\r\n", "make[1]: Entering directory `/mnt/frontiers-review-2015/libgtextutils-0.7/tests'\r\n", "make[2]: Entering directory `/mnt/frontiers-review-2015/libgtextutils-0.7/tests'\r\n", "make[2]: Nothing to be done for `install-exec-am'.\r\n", "make[2]: Nothing to be done for `install-data-am'.\r\n", "make[2]: Leaving directory `/mnt/frontiers-review-2015/libgtextutils-0.7/tests'\r\n", "make[1]: Leaving directory `/mnt/frontiers-review-2015/libgtextutils-0.7/tests'\r\n", "make[1]: Entering directory `/mnt/frontiers-review-2015/libgtextutils-0.7'\r\n", "make[2]: Entering directory `/mnt/frontiers-review-2015/libgtextutils-0.7'\r\n", "make[2]: Nothing to be done for `install-exec-am'.\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " /bin/mkdir -p '/usr/local/lib/pkgconfig'\r\n", " /usr/bin/install -c -m 644 gtextutils.pc '/usr/local/lib/pkgconfig'\r\n", "make[2]: Leaving directory `/mnt/frontiers-review-2015/libgtextutils-0.7'\r\n", "make[1]: Leaving directory `/mnt/frontiers-review-2015/libgtextutils-0.7'\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "checking for a BSD-compatible install... /usr/bin/install -c\r\n", "checking whether build environment is sane... yes\r\n", "checking for a thread-safe mkdir -p... /bin/mkdir -p\r\n", "checking for gawk... gawk\r\n", "checking whether make sets $(MAKE)... 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`install-exec-am'.\r\n", "make[2]: Nothing to be done for `install-data-am'.\r\n", "make[2]: Leaving directory `/mnt/frontiers-review-2015/fastx_toolkit-0.0.14'\r\n", "make[1]: Leaving directory `/mnt/frontiers-review-2015/fastx_toolkit-0.0.14'\r\n" ] } ], "prompt_number": 16 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we will perform the quality filtering saving the quality-filtered file as SRR172903.qc.fastq:\n", "\n", "FASTQ Quality Filter\n", "\n", "$ fastq_quality_filter -h\n", "\tusage: fastq_quality_filter [-h] [-v] [-q N] [-p N] [-z] [-i INFILE] [-o OUTFILE]\n", "\n", "\tversion 0.0.6\n", "\t [-h] = This helpful help screen.\n", "\t [-q N] = Minimum quality score to keep.\n", "\t [-p N] = Minimum percent of bases that must have [-q] quality.\n", "\t [-z] = Compress output with GZIP.\n", "\t [-i INFILE] = FASTA/Q input file. default is STDIN.\n", "\t [-o OUTFILE] = FASTA/Q output file. default is STDOUT.\n", "\t [-v] = Verbose - report number of sequences.\n", "\t\t\t If [-o] is specified, report will be printed to STDOUT.\n", "\t\t\t If [-o] is not specified (and output goes to STDOUT),\n", "\t\t\t report will be printed to STDERR." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!fastq_quality_filter -q 33 -p 50 -i SRR172903.fastq > SRR172903.qc.fastq" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 17 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 4. Checking the diversity - What is the distribution of \"Who is There?\"\n", "\n", "An advantage of metagenomic sequencing is the ability to quantify microbial diversity in an environment without the need to first cultivate cells. Typically, most studies access taxonomic diversity (especially with the usage of targeted sequencing of the 16S rRNA gene*). Diversity can also be measured in the representation of specific sequence patterns in a metagenome. For example, one can quantify the abundance of unique nucleotide \"words\" of length K, or k-mers, in a metagenome. These k-mers can also be used in the assembly of metagenomes where overlapping k-mers are indicative of reads that should be connected together. The diversity of these k-mers can give you insight into the the diversity of your sample. Further, since assembly compares each k-mer against all k-mers, larger numbers of k-mers present will require more computational memory. A nice review on k-mers and assembly is Miller et al.\n", "\n", "(*Note that 16S rRNA amplicon sequencing is a targeted approach and not considered metagenomics in this review. Shotgun metagenomic sequencing uses DNA extracted from all cells in a community and sequenced. Targeted sequencing amplifies a specific genomic locus and independently sequenced. A great review on metagenome analysis is Sharpton et al.)\n", "\n", "The first thing we will do is install khmer (www.github.com/ged-lab/khmer) -- it contains a suite of khmer and pre-assembly tools. We will use it for k-mer counting here. Once you run the script below, you can use khmer's many tools." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!ls" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "assemstats3.py\t\t kmer-count-plot.py\r\n", "bowtie.sh\t\t libgtextutils-0.7\r\n", "fastx_install.sh\t libgtextutils-0.7.tar.gz\r\n", "fastx_toolkit-0.0.14\t LICENSE.md\r\n", "fastx_toolkit-0.0.14.tar.bz2 ncbi_acc.txt\r\n", "fetch-genomes-fasta.py\t README.md\r\n", "fraggenescan-install.sh remove_output.py\r\n", "frontiers-nb-2015.bu.ipynb sratoolkit.2.4.5-2-ubuntu64\r\n", "frontiers-nb-2015.ipynb sratoolkit.2.4.5-2-ubuntu64.tar.gz\r\n", "install-megahit.sh\t SRR172903.fastq\r\n", "ipython_notebook_config.py SRR172903.qc.fastq\r\n", "khmer\t\t\t unique-kmers.py\r\n", "khmer-install.sh\r\n" ] } ], "prompt_number": 18 }, { "cell_type": "code", "collapsed": false, "input": [ "!bash khmer-install.sh" ], "language": "python", "metadata": {}, "outputs": [ 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" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "running install\r\n", "Checking .pth file support in /usr/local/lib/python2.7/dist-packages/\r\n", "/usr/bin/python -E -c pass\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "TEST PASSED: /usr/local/lib/python2.7/dist-packages/ appears to support .pth files\r\n", "running bdist_egg\r\n", "running egg_info\r\n", "creating khmer.egg-info\r\n", "writing requirements to khmer.egg-info/requires.txt\r\n", "writing khmer.egg-info/PKG-INFO\r\n", "writing top-level names to khmer.egg-info/top_level.txt\r\n", "writing dependency_links to khmer.egg-info/dependency_links.txt\r\n", "writing entry points to khmer.egg-info/entry_points.txt\r\n", "writing manifest file 'khmer.egg-info/SOURCES.txt'\r\n", "reading manifest file 'khmer.egg-info/SOURCES.txt'\r\n", "reading manifest template 'MANIFEST.in'\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "warning: no previously-included files found matching 'third-party/zlib/Makefile'\r\n", "warning: no previously-included files found matching 'third-party/zlib/zconf.h'\r\n", "warning: no previously-included files matching '*.orig' found anywhere in distribution\r\n", "warning: no previously-included files matching '*.pyc' found anywhere in distribution\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "writing manifest file 'khmer.egg-info/SOURCES.txt'\r\n", "installing library code to build/bdist.linux-x86_64/egg\r\n", "running install_lib\r\n", "running build_py\r\n", "creating build\r\n", "creating build/lib.linux-x86_64-2.7\r\n", "creating build/lib.linux-x86_64-2.7/khmer\r\n", "copying khmer/kfile.py -> build/lib.linux-x86_64-2.7/khmer\r\n", "copying khmer/khmer_args.py -> build/lib.linux-x86_64-2.7/khmer\r\n", "copying khmer/thread_utils.py -> build/lib.linux-x86_64-2.7/khmer\r\n", "copying khmer/utils.py -> build/lib.linux-x86_64-2.7/khmer\r\n", "copying khmer/__init__.py -> build/lib.linux-x86_64-2.7/khmer\r\n", "copying khmer/_version.py -> build/lib.linux-x86_64-2.7/khmer\r\n", "creating build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_scripts.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_threaded_sequence_processor.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_functions.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_hll.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_counting_single.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_read_aligner.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_labelhash.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_normalize_by_median.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_subset_graph.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/__init__.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_counting_hash.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_hashbits.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_hashbits_obj.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_version.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_graph.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_filter.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/khmer_tst_utils.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_script_arguments.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_sandbox_scripts.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_read_parsers.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "copying tests/test_lump.py -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "creating build/lib.linux-x86_64-2.7/oxli\r\n", "copying oxli/functions.py -> build/lib.linux-x86_64-2.7/oxli\r\n", "copying oxli/build_graph.py -> build/lib.linux-x86_64-2.7/oxli\r\n", "copying oxli/__init__.py -> build/lib.linux-x86_64-2.7/oxli\r\n", "copying khmer/_khmer.cc -> build/lib.linux-x86_64-2.7/khmer\r\n", "copying tests/.gitignore -> build/lib.linux-x86_64-2.7/khmer/tests\r\n", "creating build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/100-reads.fq.bz2 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/100-reads.fq.gz -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/100-reads.fq.truncated.bz2 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/100-reads.fq.truncated.gz -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/all-A.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/badversion-k12.ct -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/badversion-k12.ht -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/badversion-k32.stoptags -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/badversion-k32.tagset -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/biglump-random-20-a.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/casava_18-pe.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/combine_parts_1.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/dn-test-all-paired-all-keep.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/dn-test-none-paired.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/dn-test-some-paired-all-keep.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/empty-file -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/fakelump.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/fakelump.fa.stoptags.txt -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/filter-test-A.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/filter-test-B.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/goodversion-k12.ht -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/goodversion-k12.ht.gz -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/goodversion-k32.stoptags -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/goodversion-k32.tagset -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/normC20k20.ct -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/old-style-format-w-comments.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/overlap.out -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired-broken.fq.1 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired-broken.fq.2 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired-broken2.fq.1 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired-broken2.fq.2 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired-broken3.fq.1 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired-broken3.fq.2 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired-mixed-2.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired-mixed-broken.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired-mixed.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired-mixed.fa.pe -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired-mixed.fa.se -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired-mixed.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired-mixed.fq.pe -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired-mixed.fq.se -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired.fa.1 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired.fa.2 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired.fq.1 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired.fq.2 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/paired_one.base.dif.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/random-20-X2.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/random-20-a.even.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/random-20-a.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/random-20-a.fa.bz2 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/random-20-a.fa.gz -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/random-20-a.fa.part -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/random-20-a.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/random-20-a.fq.bz2 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/random-20-a.fq.gz -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/random-20-a.odd.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/random-20-b.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/random-31-c.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/real-partition-small.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/real-partition-tiny.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/single-read.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-abund-read-2.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-abund-read-2.fa.bz2 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-abund-read-2.fa.gz -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-abund-read-2.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-abund-read-2.paired.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-abund-read-2.paired2.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-abund-read-3.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-abund-read-impaired.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-abund-read-paired.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-abund-read-paired.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-abund-read.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-empty.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-empty.fa.bz2 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-error-reads.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-fastq-n-reads.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-fastq-reads.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-filter-abund-Ns.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-graph.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-graph2.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-graph5.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-labels.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-large.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "copying tests/test-data/test-output-partitions.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-overlap1.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-overlap2.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-reads.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-reads.fq.bz2 -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-reads.fq.gz -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-short.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-sweep-contigs.fp -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-sweep-reads.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-sweep-reads.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/test-transcript.fa -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "copying tests/test-data/truncated.fq -> build/lib.linux-x86_64-2.7/khmer/tests/test-data\r\n", "running build_ext\r\n", "bash -c cd third-party/zlib && ( test Makefile -nt configure || bash ./configure --static ) && make -f Makefile.pic PIC\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Checking for gcc...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Building static library libz.a version 1.2.8 with gcc.\r\n", "Checking for off64_t... Yes.\r\n", "Checking for fseeko... Yes.\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Checking for strerror... Yes.\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Checking for unistd.h... Yes.\r\n", "Checking for stdarg.h... Yes.\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Checking whether to use vs[n]printf() or s[n]printf()... using vs[n]printf().\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Checking for vsnprintf() in stdio.h... Yes.\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Checking for return value of vsnprintf()... Yes.\r\n", "Checking for attribute(visibility) support... Yes.\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -O3 -fPIC -D_LARGEFILE64_SOURCE=1 -DHAVE_HIDDEN -DPIC -c -o objs/adler32.o adler32.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -O3 -fPIC -D_LARGEFILE64_SOURCE=1 -DHAVE_HIDDEN -DPIC -c -o objs/crc32.o crc32.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -O3 -fPIC -D_LARGEFILE64_SOURCE=1 -DHAVE_HIDDEN -DPIC -c -o objs/deflate.o deflate.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -O3 -fPIC -D_LARGEFILE64_SOURCE=1 -DHAVE_HIDDEN -DPIC -c -o objs/infback.o infback.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -O3 -fPIC -D_LARGEFILE64_SOURCE=1 -DHAVE_HIDDEN -DPIC -c -o objs/inffast.o inffast.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -O3 -fPIC -D_LARGEFILE64_SOURCE=1 -DHAVE_HIDDEN -DPIC -c -o objs/inflate.o inflate.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -O3 -fPIC -D_LARGEFILE64_SOURCE=1 -DHAVE_HIDDEN -DPIC -c -o objs/inftrees.o inftrees.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -O3 -fPIC -D_LARGEFILE64_SOURCE=1 -DHAVE_HIDDEN -DPIC -c -o objs/trees.o trees.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -O3 -fPIC -D_LARGEFILE64_SOURCE=1 -DHAVE_HIDDEN -DPIC -c -o objs/zutil.o zutil.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -O3 -fPIC -D_LARGEFILE64_SOURCE=1 -DHAVE_HIDDEN -DPIC -c -o objs/compress.o compress.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -O3 -fPIC -D_LARGEFILE64_SOURCE=1 -DHAVE_HIDDEN -DPIC -c -o objs/uncompr.o uncompr.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -O3 -fPIC -D_LARGEFILE64_SOURCE=1 -DHAVE_HIDDEN -DPIC -c -o objs/gzclose.o gzclose.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -O3 -fPIC -D_LARGEFILE64_SOURCE=1 -DHAVE_HIDDEN -DPIC -c -o objs/gzlib.o gzlib.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -O3 -fPIC -D_LARGEFILE64_SOURCE=1 -DHAVE_HIDDEN -DPIC -c -o objs/gzread.o gzread.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -O3 -fPIC -D_LARGEFILE64_SOURCE=1 -DHAVE_HIDDEN -DPIC -c -o objs/gzwrite.o gzwrite.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "bash -c cd third-party/bzip2 && make -f Makefile-libbz2_so all\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -fpic -fPIC -Wall -Winline -O2 -g -D_FILE_OFFSET_BITS=64 -c blocksort.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "In function \u2018mainSort\u2019:\r\n", "blocksort.c:347:6: warning: inlining failed in call to \u2018mainGtU.part.0\u2019: call is unlikely and code size would grow [-Winline]\r\n", " Bool mainGtU ( UInt32 i1, \r\n", " ^\r\n", "cc1: warning: called from here [-Winline]\r\n", "blocksort.c:347:6: warning: inlining failed in call to \u2018mainGtU.part.0\u2019: call is unlikely and code size would grow [-Winline]\r\n", " Bool mainGtU ( UInt32 i1, \r\n", " ^\r\n", "cc1: warning: called from here [-Winline]\r\n", "blocksort.c:347:6: warning: inlining failed in call to \u2018mainGtU.part.0\u2019: call is unlikely and code size would grow [-Winline]\r\n", " Bool mainGtU ( UInt32 i1, \r\n", " ^\r\n", "cc1: warning: called from here [-Winline]\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -fpic -fPIC -Wall -Winline -O2 -g -D_FILE_OFFSET_BITS=64 -c huffman.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -fpic -fPIC -Wall -Winline -O2 -g -D_FILE_OFFSET_BITS=64 -c crctable.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -fpic -fPIC -Wall -Winline -O2 -g -D_FILE_OFFSET_BITS=64 -c randtable.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -fpic -fPIC -Wall -Winline -O2 -g -D_FILE_OFFSET_BITS=64 -c compress.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -fpic -fPIC -Wall -Winline -O2 -g -D_FILE_OFFSET_BITS=64 -c decompress.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -fpic -fPIC -Wall -Winline -O2 -g -D_FILE_OFFSET_BITS=64 -c bzlib.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "#gcc -shared -Wl,-soname -Wl,libbz2.so.1.0 -o libbz2.so.1.0.6 blocksort.o huffman.o crctable.o randtable.o compress.o decompress.o bzlib.o\r\n", "#gcc -fpic -fPIC -Wall -Winline -O2 -g -D_FILE_OFFSET_BITS=64 -o bzip2-shared bzip2.c libbz2.so.1.0.6\r\n", "#rm -f libbz2.so.1.0\r\n", "#ln -s libbz2.so.1.0.6 libbz2.so.1.0\r\n", "building 'khmer._khmer' extension\r\n", "creating build/temp.linux-x86_64-2.7\r\n", "creating build/temp.linux-x86_64-2.7/khmer\r\n", "creating build/temp.linux-x86_64-2.7/lib\r\n", "creating build/temp.linux-x86_64-2.7/third-party\r\n", "creating build/temp.linux-x86_64-2.7/third-party/smhasher\r\n", "x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -DVERSION=1.4+261.g75f6fbf -DSEQAN_HAS_BZIP2=1 -DSEQAN_HAS_ZLIB=1 -UNO_UNIQUE_RC -Ilib -Ithird-party/zlib -Ithird-party/bzip2 -Ithird-party/seqan/core/include -Ithird-party/smhasher -I/usr/include/python2.7 -c khmer/_khmer.cc -o build/temp.linux-x86_64-2.7/khmer/_khmer.o -O3 -fopenmp\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -DVERSION=1.4+261.g75f6fbf -DSEQAN_HAS_BZIP2=1 -DSEQAN_HAS_ZLIB=1 -UNO_UNIQUE_RC -Ilib -Ithird-party/zlib -Ithird-party/bzip2 -Ithird-party/seqan/core/include -Ithird-party/smhasher -I/usr/include/python2.7 -c lib/trace_logger.cc -o build/temp.linux-x86_64-2.7/lib/trace_logger.o -O3 -fopenmp\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -DVERSION=1.4+261.g75f6fbf -DSEQAN_HAS_BZIP2=1 -DSEQAN_HAS_ZLIB=1 -UNO_UNIQUE_RC -Ilib -Ithird-party/zlib -Ithird-party/bzip2 -Ithird-party/seqan/core/include -Ithird-party/smhasher -I/usr/include/python2.7 -c lib/perf_metrics.cc -o build/temp.linux-x86_64-2.7/lib/perf_metrics.o -O3 -fopenmp\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -DVERSION=1.4+261.g75f6fbf -DSEQAN_HAS_BZIP2=1 -DSEQAN_HAS_ZLIB=1 -UNO_UNIQUE_RC -Ilib -Ithird-party/zlib -Ithird-party/bzip2 -Ithird-party/seqan/core/include -Ithird-party/smhasher -I/usr/include/python2.7 -c lib/read_parsers.cc -o build/temp.linux-x86_64-2.7/lib/read_parsers.o -O3 -fopenmp\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -DVERSION=1.4+261.g75f6fbf -DSEQAN_HAS_BZIP2=1 -DSEQAN_HAS_ZLIB=1 -UNO_UNIQUE_RC -Ilib -Ithird-party/zlib -Ithird-party/bzip2 -Ithird-party/seqan/core/include -Ithird-party/smhasher -I/usr/include/python2.7 -c lib/kmer_hash.cc -o build/temp.linux-x86_64-2.7/lib/kmer_hash.o -O3 -fopenmp\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -DVERSION=1.4+261.g75f6fbf -DSEQAN_HAS_BZIP2=1 -DSEQAN_HAS_ZLIB=1 -UNO_UNIQUE_RC -Ilib -Ithird-party/zlib -Ithird-party/bzip2 -Ithird-party/seqan/core/include -Ithird-party/smhasher -I/usr/include/python2.7 -c lib/hashtable.cc -o build/temp.linux-x86_64-2.7/lib/hashtable.o -O3 -fopenmp\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -DVERSION=1.4+261.g75f6fbf -DSEQAN_HAS_BZIP2=1 -DSEQAN_HAS_ZLIB=1 -UNO_UNIQUE_RC -Ilib -Ithird-party/zlib -Ithird-party/bzip2 -Ithird-party/seqan/core/include -Ithird-party/smhasher -I/usr/include/python2.7 -c lib/hashbits.cc -o build/temp.linux-x86_64-2.7/lib/hashbits.o -O3 -fopenmp\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -DVERSION=1.4+261.g75f6fbf -DSEQAN_HAS_BZIP2=1 -DSEQAN_HAS_ZLIB=1 -UNO_UNIQUE_RC -Ilib -Ithird-party/zlib -Ithird-party/bzip2 -Ithird-party/seqan/core/include -Ithird-party/smhasher -I/usr/include/python2.7 -c lib/labelhash.cc -o build/temp.linux-x86_64-2.7/lib/labelhash.o -O3 -fopenmp\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -DVERSION=1.4+261.g75f6fbf -DSEQAN_HAS_BZIP2=1 -DSEQAN_HAS_ZLIB=1 -UNO_UNIQUE_RC -Ilib -Ithird-party/zlib -Ithird-party/bzip2 -Ithird-party/seqan/core/include -Ithird-party/smhasher -I/usr/include/python2.7 -c lib/counting.cc -o build/temp.linux-x86_64-2.7/lib/counting.o -O3 -fopenmp\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -DVERSION=1.4+261.g75f6fbf -DSEQAN_HAS_BZIP2=1 -DSEQAN_HAS_ZLIB=1 -UNO_UNIQUE_RC -Ilib -Ithird-party/zlib -Ithird-party/bzip2 -Ithird-party/seqan/core/include -Ithird-party/smhasher -I/usr/include/python2.7 -c lib/subset.cc -o build/temp.linux-x86_64-2.7/lib/subset.o -O3 -fopenmp\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -DVERSION=1.4+261.g75f6fbf -DSEQAN_HAS_BZIP2=1 -DSEQAN_HAS_ZLIB=1 -UNO_UNIQUE_RC -Ilib -Ithird-party/zlib -Ithird-party/bzip2 -Ithird-party/seqan/core/include -Ithird-party/smhasher -I/usr/include/python2.7 -c lib/read_aligner.cc -o build/temp.linux-x86_64-2.7/lib/read_aligner.o -O3 -fopenmp\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -DVERSION=1.4+261.g75f6fbf -DSEQAN_HAS_BZIP2=1 -DSEQAN_HAS_ZLIB=1 -UNO_UNIQUE_RC -Ilib -Ithird-party/zlib -Ithird-party/bzip2 -Ithird-party/seqan/core/include -Ithird-party/smhasher -I/usr/include/python2.7 -c lib/hllcounter.cc -o build/temp.linux-x86_64-2.7/lib/hllcounter.o -O3 -fopenmp\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -DVERSION=1.4+261.g75f6fbf -DSEQAN_HAS_BZIP2=1 -DSEQAN_HAS_ZLIB=1 -UNO_UNIQUE_RC -Ilib -Ithird-party/zlib -Ithird-party/bzip2 -Ithird-party/seqan/core/include -Ithird-party/smhasher -I/usr/include/python2.7 -c third-party/smhasher/MurmurHash3.cc -o build/temp.linux-x86_64-2.7/third-party/smhasher/MurmurHash3.o -O3 -fopenmp\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/khmer/_khmer.o build/temp.linux-x86_64-2.7/lib/trace_logger.o build/temp.linux-x86_64-2.7/lib/perf_metrics.o build/temp.linux-x86_64-2.7/lib/read_parsers.o build/temp.linux-x86_64-2.7/lib/kmer_hash.o build/temp.linux-x86_64-2.7/lib/hashtable.o build/temp.linux-x86_64-2.7/lib/hashbits.o build/temp.linux-x86_64-2.7/lib/labelhash.o build/temp.linux-x86_64-2.7/lib/counting.o build/temp.linux-x86_64-2.7/lib/subset.o build/temp.linux-x86_64-2.7/lib/read_aligner.o build/temp.linux-x86_64-2.7/lib/hllcounter.o build/temp.linux-x86_64-2.7/third-party/smhasher/MurmurHash3.o third-party/zlib/adler32.lo third-party/zlib/compress.lo third-party/zlib/crc32.lo third-party/zlib/deflate.lo third-party/zlib/gzclose.lo third-party/zlib/gzlib.lo third-party/zlib/gzread.lo third-party/zlib/gzwrite.lo third-party/zlib/infback.lo third-party/zlib/inffast.lo third-party/zlib/inflate.lo third-party/zlib/inftrees.lo third-party/zlib/trees.lo third-party/zlib/uncompr.lo third-party/zlib/zutil.lo third-party/bzip2/blocksort.o third-party/bzip2/huffman.o third-party/bzip2/crctable.o third-party/bzip2/randtable.o third-party/bzip2/compress.o third-party/bzip2/decompress.o third-party/bzip2/bzlib.o -o build/lib.linux-x86_64-2.7/khmer/_khmer.so -fopenmp\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "creating build/bdist.linux-x86_64\r\n", "creating build/bdist.linux-x86_64/egg\r\n", "creating build/bdist.linux-x86_64/egg/khmer\r\n", "copying build/lib.linux-x86_64-2.7/khmer/_khmer.cc -> build/bdist.linux-x86_64/egg/khmer\r\n", "copying build/lib.linux-x86_64-2.7/khmer/kfile.py -> build/bdist.linux-x86_64/egg/khmer\r\n", "copying build/lib.linux-x86_64-2.7/khmer/khmer_args.py -> build/bdist.linux-x86_64/egg/khmer\r\n", "copying build/lib.linux-x86_64-2.7/khmer/thread_utils.py -> build/bdist.linux-x86_64/egg/khmer\r\n", "copying build/lib.linux-x86_64-2.7/khmer/utils.py -> build/bdist.linux-x86_64/egg/khmer\r\n", "copying build/lib.linux-x86_64-2.7/khmer/__init__.py -> build/bdist.linux-x86_64/egg/khmer\r\n", "creating build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_scripts.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_threaded_sequence_processor.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/.gitignore -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_functions.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_hll.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_counting_single.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_read_aligner.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_labelhash.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_normalize_by_median.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_subset_graph.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/__init__.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_counting_hash.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_hashbits.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_hashbits_obj.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_version.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_graph.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_filter.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/khmer_tst_utils.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_script_arguments.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_sandbox_scripts.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "creating build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/badversion-k32.tagset -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/goodversion-k32.tagset -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/100-reads.fq.truncated.bz2 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/badversion-k32.stoptags -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/dn-test-all-paired-all-keep.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/biglump-random-20-a.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-abund-read-3.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/badversion-k12.ht -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired.fq.2 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/random-20-a.fq.gz -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired-mixed.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/fakelump.fa.stoptags.txt -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired-mixed.fa.se -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/overlap.out -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/goodversion-k12.ht.gz -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired-broken.fq.2 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired-broken3.fq.2 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/random-20-a.odd.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-sweep-reads.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired.fq.1 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-graph5.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-fastq-n-reads.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-abund-read-paired.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-sweep-contigs.fp -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-output-partitions.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/random-20-a.fa.bz2 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired-mixed.fq.se -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/dn-test-some-paired-all-keep.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/combine_parts_1.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired-mixed-broken.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/filter-test-A.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-sweep-reads.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/random-20-X2.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-abund-read-paired.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-overlap2.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/normC20k20.ct -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/goodversion-k12.ht -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-reads.fq.gz -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/100-reads.fq.gz -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired.fa.1 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/old-style-format-w-comments.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-abund-read-2.paired.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-empty.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/random-20-a.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-fastq-reads.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-abund-read-2.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-filter-abund-Ns.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/dn-test-none-paired.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/random-20-a.fa.part -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired-broken2.fq.2 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/single-read.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-labels.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-empty.fa.bz2 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-reads.fq.bz2 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired-mixed.fq.pe -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/empty-file -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/100-reads.fq.truncated.gz -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/real-partition-tiny.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-large.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/real-partition-small.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-transcript.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-abund-read.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired-mixed.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-overlap1.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired.fa.2 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-abund-read-impaired.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/random-20-a.fa.gz -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/casava_18-pe.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-abund-read-2.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-graph2.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired-broken3.fq.1 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-graph.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/random-20-a.fq.bz2 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/fakelump.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired_one.base.dif.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired-mixed-2.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-abund-read-2.paired2.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-short.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/100-reads.fq.bz2 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-reads.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/random-20-a.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-abund-read-2.fa.gz -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/random-20-b.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-error-reads.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/badversion-k12.ct -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/test-abund-read-2.fa.bz2 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/all-A.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired-broken.fq.1 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/filter-test-B.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/goodversion-k32.stoptags -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/random-20-a.even.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/truncated.fq -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired-mixed.fa.pe -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/paired-broken2.fq.1 -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test-data/random-31-c.fa -> build/bdist.linux-x86_64/egg/khmer/tests/test-data\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_read_parsers.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/tests/test_lump.py -> build/bdist.linux-x86_64/egg/khmer/tests\r\n", "copying build/lib.linux-x86_64-2.7/khmer/_khmer.so -> build/bdist.linux-x86_64/egg/khmer\r\n", "copying build/lib.linux-x86_64-2.7/khmer/_version.py -> build/bdist.linux-x86_64/egg/khmer\r\n", "creating build/bdist.linux-x86_64/egg/oxli\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "copying build/lib.linux-x86_64-2.7/oxli/functions.py -> build/bdist.linux-x86_64/egg/oxli\r\n", "copying build/lib.linux-x86_64-2.7/oxli/build_graph.py -> build/bdist.linux-x86_64/egg/oxli\r\n", "copying build/lib.linux-x86_64-2.7/oxli/__init__.py -> build/bdist.linux-x86_64/egg/oxli\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/kfile.py to kfile.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/khmer_args.py to khmer_args.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/thread_utils.py to thread_utils.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/utils.py to utils.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/__init__.py to __init__.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_scripts.py to test_scripts.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_threaded_sequence_processor.py to test_threaded_sequence_processor.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_functions.py to test_functions.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_hll.py to test_hll.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_counting_single.py to test_counting_single.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_read_aligner.py to test_read_aligner.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_labelhash.py to test_labelhash.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_normalize_by_median.py to test_normalize_by_median.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_subset_graph.py to test_subset_graph.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/__init__.py to __init__.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_counting_hash.py to test_counting_hash.pyc\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_hashbits.py to test_hashbits.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_hashbits_obj.py to test_hashbits_obj.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_version.py to test_version.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_graph.py to test_graph.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_filter.py to test_filter.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/khmer_tst_utils.py to khmer_tst_utils.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_script_arguments.py to test_script_arguments.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_sandbox_scripts.py to test_sandbox_scripts.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_read_parsers.py to test_read_parsers.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/tests/test_lump.py to test_lump.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/_version.py to _version.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/oxli/functions.py to functions.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/oxli/build_graph.py to build_graph.pyc\r\n", "byte-compiling build/bdist.linux-x86_64/egg/oxli/__init__.py to __init__.pyc\r\n", "creating stub loader for khmer/_khmer.so\r\n", "byte-compiling build/bdist.linux-x86_64/egg/khmer/_khmer.py to _khmer.pyc\r\n", "creating build/bdist.linux-x86_64/egg/EGG-INFO\r\n", "installing scripts to build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "running install_scripts\r\n", "running build_scripts\r\n", "creating build/scripts-2.7\r\n", "copying and adjusting scripts/normalize-by-median.py -> build/scripts-2.7\r\n", "copying and adjusting scripts/load-graph.py -> build/scripts-2.7\r\n", "copying and adjusting scripts/abundance-dist.py -> build/scripts-2.7\r\n", "copying and adjusting scripts/annotate-partitions.py -> build/scripts-2.7\r\n", "copying and adjusting scripts/abundance-dist-single.py -> build/scripts-2.7\r\n", "copying and adjusting scripts/extract-long-sequences.py -> build/scripts-2.7\r\n", "copying and adjusting scripts/count-overlap.py -> build/scripts-2.7\r\n", "copying and adjusting scripts/partition-graph.py -> build/scripts-2.7\r\n", "copying and adjusting scripts/merge-partitions.py -> build/scripts-2.7\r\n", "copying and adjusting scripts/trim-low-abund.py -> build/scripts-2.7\r\n", "copying and adjusting scripts/readstats.py -> build/scripts-2.7\r\n", "copying and adjusting scripts/do-partition.py -> build/scripts-2.7\r\n", "copying and adjusting scripts/load-into-counting.py -> build/scripts-2.7\r\n", "copying and adjusting scripts/fastq-to-fasta.py -> build/scripts-2.7\r\n", "copying 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build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/load-graph.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/abundance-dist.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/annotate-partitions.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/abundance-dist-single.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/extract-long-sequences.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/count-overlap.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/partition-graph.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/merge-partitions.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/trim-low-abund.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/readstats.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/do-partition.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/load-into-counting.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/fastq-to-fasta.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/sample-reads-randomly.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/find-knots.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/filter-stoptags.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/count-median.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/extract-paired-reads.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", "copying build/scripts-2.7/interleave-reads.py -> build/bdist.linux-x86_64/egg/EGG-INFO/scripts\r\n", 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not set; analyzing archive contents...\r\n", "Adding bz2file 0.98 to easy-install.pth file\r\n", "\r\n", "Installed /usr/local/lib/python2.7/dist-packages/bz2file-0.98-py2.7.egg\r\n", "Finished processing dependencies for khmer==1.4-261.g75f6fbf\r\n" ] } ], "prompt_number": 19 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following script is contained within the *khmer* package and can estimate the total unique number of k-mers in your dataset. Use cases for this might be a) determining how diverse a metagenome is compared to e.g., a bacterial genome for assembly, b) to compare k-mer diversity among multiple metagenomes, c) exploring the impacts of choice of length k for assembly.\n", "\n", "Next, to estimate the number unique k-mers in the datasets for multiple k's (17, 21, 25, 29, 33, 37), execute the scripts below. The script output will identify the unique k-mers but will also save in a report named unique_count. (This takes about 15 minutes on a large instance and 8-10 minutes on an extra large.)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!python unique-kmers.py -R unique_count -k 17 SRR172903.qc.fastq\n", "!python unique-kmers.py -R unique_count -k 21 SRR172903.qc.fastq\n", "!python unique-kmers.py -R unique_count -k 25 SRR172903.qc.fastq\n", "!python unique-kmers.py -R unique_count -k 29 SRR172903.qc.fastq\n", "!python unique-kmers.py -R unique_count -k 33 SRR172903.qc.fastq\n", "!python unique-kmers.py -R unique_count -k 37 SRR172903.qc.fastq" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\r\n", "|| This is the script 'unique-kmers.py' in khmer.\r\n", "|| You are running khmer version 0+unknown\r\n", "|| You are also using screed version 0.9\r\n", "||\r\n", "|| If you use this script in a publication, please cite EACH of the following:\r\n", "||\r\n", "|| * MR Crusoe et al., 2014. http://dx.doi.org/10.6084/m9.figshare.979190\r\n", "|| * A. D\u00f6ring et al. http://dx.doi.org:80/10.1186/1471-2105-9-11\r\n", "|| * Irber and Brown, unpublished\r\n", "||\r\n", "|| Please see http://khmer.readthedocs.org/en/latest/citations.html for details.\r\n", "\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Estimated number of unique k-mers: 14330058\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r\n", "|| This is the script 'unique-kmers.py' in khmer.\r\n", "|| You are running khmer version 0+unknown\r\n", "|| You are also using screed version 0.9\r\n", "||\r\n", "|| If you use this script in a publication, please cite EACH of the following:\r\n", "||\r\n", "|| * MR Crusoe et al., 2014. http://dx.doi.org/10.6084/m9.figshare.979190\r\n", "|| * A. D\u00f6ring et al. http://dx.doi.org:80/10.1186/1471-2105-9-11\r\n", "|| * Irber and Brown, unpublished\r\n", "||\r\n", "|| Please see http://khmer.readthedocs.org/en/latest/citations.html for details.\r\n", "\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Estimated number of unique k-mers: 15287036\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r\n", "|| This is the script 'unique-kmers.py' in khmer.\r\n", "|| You are running khmer version 0+unknown\r\n", "|| You are also using screed version 0.9\r\n", "||\r\n", "|| If you use this script in a publication, please cite EACH of the following:\r\n", "||\r\n", "|| * MR Crusoe et al., 2014. http://dx.doi.org/10.6084/m9.figshare.979190\r\n", "|| * A. D\u00f6ring et al. http://dx.doi.org:80/10.1186/1471-2105-9-11\r\n", "|| * Irber and Brown, unpublished\r\n", "||\r\n", "|| Please see http://khmer.readthedocs.org/en/latest/citations.html for details.\r\n", "\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Estimated number of unique k-mers: 15446874\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r\n", "|| This is the script 'unique-kmers.py' in khmer.\r\n", "|| You are running khmer version 0+unknown\r\n", "|| You are also using screed version 0.9\r\n", "||\r\n", "|| If you use this script in a publication, please cite EACH of the following:\r\n", "||\r\n", "|| * MR Crusoe et al., 2014. http://dx.doi.org/10.6084/m9.figshare.979190\r\n", "|| * A. D\u00f6ring et al. http://dx.doi.org:80/10.1186/1471-2105-9-11\r\n", "|| * Irber and Brown, unpublished\r\n", "||\r\n", "|| Please see http://khmer.readthedocs.org/en/latest/citations.html for details.\r\n", "\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Estimated number of unique k-mers: 15427477\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r\n", "|| This is the script 'unique-kmers.py' in khmer.\r\n", "|| You are running khmer version 0+unknown\r\n", "|| You are also using screed version 0.9\r\n", "||\r\n", "|| If you use this script in a publication, please cite EACH of the following:\r\n", "||\r\n", "|| * MR Crusoe et al., 2014. http://dx.doi.org/10.6084/m9.figshare.979190\r\n", "|| * A. D\u00f6ring et al. http://dx.doi.org:80/10.1186/1471-2105-9-11\r\n", "|| * Irber and Brown, unpublished\r\n", "||\r\n", "|| Please see http://khmer.readthedocs.org/en/latest/citations.html for details.\r\n", "\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Estimated number of unique k-mers: 15147325\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r\n", "|| This is the script 'unique-kmers.py' in khmer.\r\n", "|| You are running khmer version 0+unknown\r\n", "|| You are also using screed version 0.9\r\n", "||\r\n", "|| If you use this script in a publication, please cite EACH of the following:\r\n", "||\r\n", "|| * MR Crusoe et al., 2014. http://dx.doi.org/10.6084/m9.figshare.979190\r\n", "|| * A. D\u00f6ring et al. http://dx.doi.org:80/10.1186/1471-2105-9-11\r\n", "|| * Irber and Brown, unpublished\r\n", "||\r\n", "|| Please see http://khmer.readthedocs.org/en/latest/citations.html for details.\r\n", "\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Estimated number of unique k-mers: 14910222\r\n" ] } ], "prompt_number": 20 }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can see that this file now has in the first column the k-mer length and in the second column the estimated number of words of length k in the metagenomes. If you had multiple genomes, you could compare diversity of e.g., the total number of k-mers across datasets. To view the results of the file, you can use the concatentate program/command \"cat\"." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!cat unique_count" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\r\n", "17 14330058\r\n", "21 15287036\r\n", "25 15446874\r\n", "29 15427477\r\n", "33 15147325\r\n", "37 14910222" ] } ], "prompt_number": 21 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 5. Getting a sequence coverage profile: What genes are present in my metagenome?\n", "\n", "\n", "Most metagenomic analysis require one to estimate the abundance of reference genes (e.g., orginating from genomes or one's own metagenomic assembly). This tutorial will cover both cases where references are available or unavailable (requiring de novo assembly). \n", "\n", "\n", "### 6. Case I - Reference genomes available. \n", "\n", "For the mock HMP metagenome, the HMP has sequenced the genomes of the isolates used for this simulated dataset. The list of these genomes can be obtained on the HMP website, and we provide it here in a Github repository, a tool used for collaboratively sharing data and code. The command below will download data for this tutorial." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!cat ncbi_acc.txt" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "NC_005008.1\r\n", "NC_005007.1\r\n", "NC_005003.1\r\n", "NC_005006.1\r\n", "NC_005004.1\r\n", "NC_009084.1\r\n", "NC_005005.1\r\n", "NC_000958.1\r\n", "NC_000959.1\r\n", "NC_009083.1\r\n", "NC_001264.1\r\n", "NC_001263.1\r\n", "NC_004461.1\r\n", "NC_009008.1\r\n", "NC_010079.1\r\n", "NC_007490.1\r\n", "NC_009007.1\r\n", "NC_007489.1\r\n", "NC_004350.1\r\n", "NC_007488.1\r\n", "NC_007493.1\r\n", "NC_007494.1\r\n", "NC_009085.1\r\n", "NC_009515.1\r\n", "NC_009614.1\r\n", "NC_000915.1\r\n", "NC_003028.3\r\n", "NC_000913.2\r\n", "NC_006085.1\r\n", "NC_003112.2\r\n" ] } ], "prompt_number": 22 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following command downloads all the genomes for each ID in the above list into a directory called \"genomes\". " ] }, { "cell_type": "code", "collapsed": false, "input": [ "!python fetch-genomes-fasta.py ncbi_acc.txt genomes" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Fetching NC_005008.1..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Fetching NC_005007.1..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Fetching NC_005003.1..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Fetching NC_005006.1..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Fetching NC_005004.1..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Done\r\n" ] }, { "output_type": "stream", 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], "prompt_number": 23 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 7. Estimating abundance of assembled contigs\n", "\n", "To estimate the representation of reference genes or genomes in your metagenome, you can align reads to references using read mapping software (e.g., Bowtie2, BWA, etc.). In this tutorial, we will use Bowtie2 which we will install on this server. We will then be mapping the metagenome to a single reference genome (that we downloaded above). 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To use this script, we'll also need to install samtools. A samfile is a super compressed file that efficiently stores mapped information from mappers. Samtools helps us interact with this file." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!apt-get install samtools" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\r", "Reading package lists... 0%\r", "\r", "Reading package lists... 100%\r", "\r", "Reading package lists... Done\r", "\r\n", "\r", "Building dependency tree... 0%\r", "\r", "Building dependency tree... 0%\r" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r", "Building dependency tree... 50%\r", "\r", "Building dependency tree... 50%\r" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r", "Building dependency tree \r", "\r\n", "\r", "Reading state information... 0%\r", "\r", "Reading state information... 0%\r", "\r", "Reading state information... Done\r", "\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "The following NEW packages will be installed:\r\n", " samtools\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "0 upgraded, 1 newly installed, 0 to remove and 14 not upgraded.\r\n", "Need to get 560 kB of archives.\r\n", "After this operation, 1,336 kB of additional disk space will be used.\r\n", "\r", "\r", "0% [Working]\r", " \r", "Get:1 http://us-east-1.ec2.archive.ubuntu.com/ubuntu/ saucy/universe samtools amd64 0.1.19-1 [560 kB]\r\n", "\r", " \r", "3% [1 samtools 14.0 kB/560 kB 3%]\r", " \r", "100% [Working]\r", " \r", "Fetched 560 kB in 0s (22.3 MB/s)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Selecting previously unselected package samtools.\r\n", "(Reading database ... \r", "(Reading database ... 5%\r", "(Reading database ... 10%\r", "(Reading database ... 15%\r", "(Reading database ... 20%\r", "(Reading database ... 25%\r", "(Reading database ... 30%\r", "(Reading database ... 35%\r", "(Reading database ... 40%\r", "(Reading database ... 45%\r", "(Reading database ... 50%\r", "(Reading database ... 55%\r", "(Reading database ... 60%\r", "(Reading database ... 65%\r", "(Reading database ... 70%\r", "(Reading database ... 75%\r" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "(Reading database ... 80%\r", "(Reading database ... 85%\r", "(Reading database ... 90%\r", "(Reading database ... 95%\r", "(Reading database ... 100%\r", "(Reading database ... 112754 files and directories currently installed.)\r\n", "Unpacking samtools (from .../samtools_0.1.19-1_amd64.deb) ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Processing triggers for man-db ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Setting up samtools (0.1.19-1) ...\r\n" ] } ], "prompt_number": 25 }, { "cell_type": "markdown", "metadata": {}, "source": [ "To map reads to a reference, we have provided an easy to use program. The steps the program performs are as follows:\n", "\n", "* Index your reference genome,\n", "* Map reads to your index genome (with default bowtie parameters),\n", "* Use Samtools to estimate the number of reads mapped, number of reads unmapped, and provide a tab delimited file with each line consisting of reference sequence name, sequence length, # mapped reads and # unmapped reads.\n", "\n", "This takes about 8-10 minutes." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!bash bowtie.sh genomes/NC_000913.2.fa SRR172903.qc.fastq" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Reference is genomes/NC_000913.2.fa\r\n", "Reads are SRR172903.qc.fastq\r\n", "Settings:\r\n", " Output files: \"genomes/NC_000913.2.fa-bowtie-index.*.bt2\"\r\n", " Line rate: 6 (line is 64 bytes)\r\n", " Lines per side: 1 (side is 64 bytes)\r\n", " Offset rate: 4 (one in 16)\r\n", " FTable chars: 10\r\n", " Strings: unpacked\r\n", " Max bucket size: default\r\n", " Max bucket size, sqrt multiplier: default\r\n", " Max bucket size, len divisor: 4\r\n", " Difference-cover sample period: 1024\r\n", " Endianness: little\r\n", " Actual local endianness: little\r\n", " Sanity checking: disabled\r\n", " Assertions: disabled\r\n", " Random seed: 0\r\n", " Sizeofs: void*:8, int:4, long:8, size_t:8\r\n", "Input files DNA, FASTA:\r\n", " genomes/NC_000913.2.fa\r\n", "Building a SMALL index\r\n", "Reading reference sizes\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Time reading reference sizes: 00:00:00\r\n", "Calculating joined length\r\n", "Writing header\r\n", "Reserving space for joined string\r\n", "Joining reference sequences\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Time to join reference sequences: 00:00:00\r\n", "bmax according to bmaxDivN setting: 1159918\r\n", "Using parameters --bmax 869939 --dcv 1024\r\n", " Doing ahead-of-time memory usage test\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Passed! Constructing with these parameters: --bmax 869939 --dcv 1024\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Constructing suffix-array element generator\r\n", "Building DifferenceCoverSample\r\n", " Building sPrime\r\n", " Building sPrimeOrder\r\n", " V-Sorting samples\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " V-Sorting samples time: 00:00:00\r\n", " Allocating rank array\r\n", " Ranking v-sort output\r\n", " Ranking v-sort output time: 00:00:00\r\n", " Invoking Larsson-Sadakane on ranks\r\n", " Invoking Larsson-Sadakane on ranks time: 00:00:00\r\n", " Sanity-checking and returning\r\n", "Building samples\r\n", "Reserving space for 12 sample suffixes\r\n", "Generating random suffixes\r\n", "QSorting 12 sample offsets, eliminating duplicates\r\n", "QSorting sample offsets, eliminating duplicates time: 00:00:00\r\n", "Multikey QSorting 12 samples\r\n", " (Using difference cover)\r\n", " Multikey QSorting samples time: 00:00:00\r\n", 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"stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 699187\r\n", "Exited Ebwt loop\r\n", "fchr[A]: 0\r\n", "fchr[C]: 1142228\r\n", "fchr[G]: 2321782\r\n", "fchr[T]: 3498705\r\n", "fchr[$]: 4639675\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Exiting Ebwt::buildToDisk()\r\n", "Returning from initFromVector\r\n", "Wrote 5741113 bytes to primary EBWT file: genomes/NC_000913.2.fa-bowtie-index.1.bt2\r\n", "Wrote 1159924 bytes to secondary EBWT file: genomes/NC_000913.2.fa-bowtie-index.2.bt2\r\n", "Re-opening _in1 and _in2 as input streams\r\n", "Returning from Ebwt constructor\r\n", "Headers:\r\n", " len: 4639675\r\n", " bwtLen: 4639676\r\n", " sz: 1159919\r\n", " bwtSz: 1159919\r\n", " lineRate: 6\r\n", " offRate: 4\r\n", " offMask: 0xfffffff0\r\n", " ftabChars: 10\r\n", " eftabLen: 20\r\n", " eftabSz: 80\r\n", " ftabLen: 1048577\r\n", " ftabSz: 4194308\r\n", " offsLen: 289980\r\n", " offsSz: 1159920\r\n", " lineSz: 64\r\n", " sideSz: 64\r\n", " sideBwtSz: 48\r\n", " sideBwtLen: 192\r\n", " numSides: 24165\r\n", " numLines: 24165\r\n", " ebwtTotLen: 1546560\r\n", " ebwtTotSz: 1546560\r\n", " color: 0\r\n", " reverse: 0\r\n", "Total time for call to driver() for forward index: 00:00:02\r\n", "Reading reference sizes\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Time reading reference sizes: 00:00:00\r\n", "Calculating joined length\r\n", "Writing header\r\n", "Reserving space for joined string\r\n", "Joining reference sequences\r\n", " Time to join reference sequences: 00:00:00\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Time to reverse reference sequence: 00:00:00\r\n", "bmax according to bmaxDivN setting: 1159918\r\n", "Using parameters --bmax 869939 --dcv 1024\r\n", " Doing ahead-of-time memory usage test\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Passed! Constructing with these parameters: --bmax 869939 --dcv 1024\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Constructing suffix-array element generator\r\n", "Building DifferenceCoverSample\r\n", " Building sPrime\r\n", " Building sPrimeOrder\r\n", " V-Sorting samples\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " V-Sorting samples time: 00:00:00\r\n", " Allocating rank array\r\n", " Ranking v-sort output\r\n", " Ranking v-sort output time: 00:00:00\r\n", " Invoking Larsson-Sadakane on ranks\r\n", " Invoking Larsson-Sadakane on ranks time: 00:00:00\r\n", " Sanity-checking and returning\r\n", "Building samples\r\n", "Reserving space for 12 sample suffixes\r\n", "Generating random suffixes\r\n", "QSorting 12 sample offsets, eliminating duplicates\r\n", "QSorting sample offsets, eliminating duplicates time: 00:00:00\r\n", "Multikey QSorting 12 samples\r\n", " (Using difference cover)\r\n", " Multikey QSorting samples time: 00:00:00\r\n", "Calculating bucket sizes\r\n", " Binary sorting into buckets\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 10%\r\n", " 20%\r\n", " 30%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 40%\r\n", " 50%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 60%\r\n", " 70%\r\n", " 80%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 90%\r\n", " 100%\r\n", " Binary sorting into buckets time: 00:00:01\r\n", "Splitting and merging\r\n", " Splitting and merging time: 00:00:00\r\n", "Split 2, merged 6; iterating...\r\n", " Binary sorting into buckets\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 10%\r\n", " 20%\r\n", " 30%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 40%\r\n", " 50%\r\n", " 60%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 70%\r\n", " 80%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 90%\r\n", " 100%\r\n", " Binary sorting into buckets time: 00:00:00\r\n", "Splitting and merging\r\n", " Splitting and merging time: 00:00:00\r\n", "Avg bucket size: 662810 (target: 869938)\r\n", "Converting suffix-array elements to index image\r\n", "Allocating ftab, absorbFtab\r\n", "Entering Ebwt loop\r\n", "Getting block 1 of 7\r\n", " Reserving size (869939) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n", " 20%\r\n", " 30%\r\n", " 40%\r\n", " 50%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 60%\r\n", " 70%\r\n", " 80%\r\n", " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 504667\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 504668\r\n", "Getting block 2 of 7\r\n", " Reserving size (869939) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n", " 20%\r\n", " 30%\r\n", " 40%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 50%\r\n", " 60%\r\n", " 70%\r\n", " 80%\r\n", " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 574835\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 574836\r\n", "Getting block 3 of 7\r\n", " Reserving size (869939) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 10%\r\n", " 20%\r\n", " 30%\r\n", " 40%\r\n", " 50%\r\n", " 60%\r\n", " 70%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 80%\r\n", " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 367744\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 367745\r\n", "Getting block 4 of 7\r\n", " Reserving size (869939) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 10%\r\n", " 20%\r\n", " 30%\r\n", " 40%\r\n", " 50%\r\n", " 60%\r\n", " 70%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 80%\r\n", " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 868288\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:01\r\n", "Returning block of 868289\r\n", "Getting block 5 of 7\r\n", " Reserving size (869939) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 10%\r\n", " 20%\r\n", " 30%\r\n", " 40%\r\n", " 50%\r\n", " 60%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 70%\r\n", " 80%\r\n", " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 852473\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 852474\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Getting block 6 of 7\r\n", " Reserving size (869939) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n", " 20%\r\n", " 30%\r\n", " 40%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 50%\r\n", " 60%\r\n", " 70%\r\n", " 80%\r\n", " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 759657\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 759658\r\n", "Getting block 7 of 7\r\n", " Reserving size (869939) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 10%\r\n", " 20%\r\n", " 30%\r\n", " 40%\r\n", " 50%\r\n", " 60%\r\n", " 70%\r\n", " 80%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 712005\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 712006\r\n", "Exited Ebwt loop\r\n", "fchr[A]: 0\r\n", "fchr[C]: 1142228\r\n", "fchr[G]: 2321782\r\n", "fchr[T]: 3498705\r\n", "fchr[$]: 4639675\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Exiting Ebwt::buildToDisk()\r\n", "Returning from initFromVector\r\n", "Wrote 5741113 bytes to primary EBWT file: genomes/NC_000913.2.fa-bowtie-index.rev.1.bt2\r\n", "Wrote 1159924 bytes to secondary EBWT file: genomes/NC_000913.2.fa-bowtie-index.rev.2.bt2\r\n", "Re-opening _in1 and _in2 as input streams\r\n", "Returning from Ebwt constructor\r\n", "Headers:\r\n", " len: 4639675\r\n", " bwtLen: 4639676\r\n", " sz: 1159919\r\n", " bwtSz: 1159919\r\n", " lineRate: 6\r\n", " offRate: 4\r\n", " offMask: 0xfffffff0\r\n", " ftabChars: 10\r\n", " eftabLen: 20\r\n", " eftabSz: 80\r\n", " ftabLen: 1048577\r\n", " ftabSz: 4194308\r\n", " offsLen: 289980\r\n", " offsSz: 1159920\r\n", " lineSz: 64\r\n", " sideSz: 64\r\n", " sideBwtSz: 48\r\n", " sideBwtLen: 192\r\n", " numSides: 24165\r\n", " numLines: 24165\r\n", " ebwtTotLen: 1546560\r\n", " ebwtTotSz: 1546560\r\n", " color: 0\r\n", " reverse: 1\r\n", "Total time for backward call to driver() for mirror index: 00:00:02\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "820417 reads; of these:\r\n", " 820417 (100.00%) were unpaired; of these:\r\n", " 793072 (96.67%) aligned 0 times\r\n", " 26531 (3.23%) aligned exactly 1 time\r\n", " 814 (0.10%) aligned >1 times\r\n", "3.33% overall alignment rate\r\n", "[samopen] SAM header is present: 1 sequences.\r\n" ] } ], "prompt_number": 26 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can look at the total number of reads mapped and unmapped from our metagenome to the genome NC_000913.2. We can also get a file that shows the reference sequence name (first column), reference sequence length (second column), # mapped reads (third column) and # unmapped reads (last column). The other columns contain information that samtools can use for other queries, you can read about samtools here, http://samtools.sourceforge.net/samtools.shtml." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!cat reads-mapped.count.txt" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "27345\r\n" ] } ], "prompt_number": 27 }, { "cell_type": "code", "collapsed": false, "input": [ "!cat reads-unmapped.count.txt" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "793072\r\n" ] } ], "prompt_number": 28 }, { "cell_type": "code", "collapsed": false, "input": [ "!cat reads.by.contigs.txt" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "gi|49175990|ref|NC_000913.2|\t4639675\t27345\t0\r\n", "*\t0\t0\t793072\r\n" ] } ], "prompt_number": 29 }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you want a challenge, you can try mapping the metagenome to all reference genomes provided in the genome folder. To do so, try concatentating all genomes into one file (using this command: \"cat genomes/*fa >> all-genomes.fa\") and running the program on all-genomes.fa instead of NC_000913.2.fa." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "### 8. Case II - *De novo* assembly of reference genes.\n", "\n", "\n", "### Assembly of the HMP mock metagenome\n", "\n", "Assembly is the process of merging overlapping metagenomic reads from *hopefully* the same genome into a longer, continguous sequence (most commonly called a contig). It is advantageous in that it provides longer lengths for sequences that can later be used as references (that may be previously unknown), reduces the dataset size for analysis, and provides references that are not dependent on previous knowledge. \n", "\n", "The choice of what assembler to use is not an easy one and is a subject of debate (see http://assemblathon.org). It is most important to remember that an assembly is a *hypothesized* consensus representation of your dataset. The assembly itself is an initial step that needs to be followed by an evaluation of its accuracy and usefulness. For most assemblers, the inputs are sequencing reads and paramters for the assembly software. For this tutorial, we will be completing the assembly with an assembler published in 2014 called Megahit (Li et al., 2015, https://github.com/voutcn/megahit). Sharpton's review (Sharpton, 2014) also reviews quite nicely some of the many assembly programs and approaches for metagenomic assembly. \n", "\n", "To reduce the memory that is needed, it is often advantageous to normalize the distribution of k-mers in a metagenome. Removing extraneous information not needed for assembly also removes reads that may contain errors and may improve assembly (http://arxiv.org/abs/1203.4802). These scripts and tutorials are available at http://ged.msu.edu/angus/diginorm-2012/tutorial.html.\n", "\n", "For this tutorial, we will assemble our metagenome with the Megathit assembler so first we have to install it. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "!bash install-megahit.sh" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Cloning into 'megahit'...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "remote: Counting objects: 1505, done.\u001b[K\r\n", "remote: Compressing objects: 3% (1/27) \u001b[K\r" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "remote: Compressing objects: 7% (2/27) \u001b[K\r", "remote: Compressing objects: 11% (3/27) \u001b[K\r", "remote: Compressing objects: 14% (4/27) \u001b[K\r", "remote: Compressing objects: 18% (5/27) \u001b[K\r", "remote: Compressing objects: 22% (6/27) \u001b[K\r", "remote: Compressing objects: 25% (7/27) \u001b[K\r", "remote: Compressing objects: 29% (8/27) \u001b[K\r", "remote: Compressing objects: 33% (9/27) \u001b[K\r", "remote: Compressing objects: 37% (10/27) \u001b[K\r", "remote: Compressing objects: 40% (11/27) \u001b[K\r", 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done.\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Checking connectivity... done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c succinct_dbg.cpp -o succinct_dbg.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "succinct_dbg.cpp: In member function \u2018void SuccinctDBG::LoadFromFile(const char*)\u2019:\r\n", "succinct_dbg.cpp:369:34: warning: ignoring return value of \u2018int fscanf(FILE*, const char*, ...)\u2019, declared with attribute warn_unused_result [-Wunused-result]\r\n", " fscanf(f_file, \"%d\", &kmer_k);\r\n", " ^\r\n", "succinct_dbg.cpp:370:45: warning: ignoring return value of \u2018int fscanf(FILE*, const char*, ...)\u2019, declared with attribute warn_unused_result [-Wunused-result]\r\n", " fscanf(f_file, \"%u\", &num_dollar_nodes_);\r\n", " ^\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c assembly_algorithms.cpp -o assembly_algorithms.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "In file included from hash_map.h:17:0,\r\n", " from unitig_graph.h:30,\r\n", " from assembly_algorithms.cpp:34:\r\n", "hash_table.h: In instantiation of \u2018struct HashTableNode >\u2019:\r\n", "hash_table.h:599:39: required from \u2018void HashTable::clear() [with Value = std::pair; Key = long int; HashFunc = Hash; ExtractKey = Select1st >; EqualKey = std::equal_to]\u2019\r\n", "hash_table.h:277:15: required from \u2018HashTable::~HashTable() [with Value = std::pair; Key = long int; HashFunc = Hash; ExtractKey = Select1st >; EqualKey = std::equal_to]\u2019\r\n", "hash_map.h:32:7: required from here\r\n", "hash_table.h:50:7: warning: ignoring packed attribute because of unpacked non-POD field \u2018std::pair HashTableNode >::value\u2019 [enabled by default]\r\n", " T value;\r\n", " ^\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c branch_group.cpp -o branch_group.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c options_description.cpp -o options_description.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c unitig_graph.cpp -o unitig_graph.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "In file included from hash_map.h:17:0,\r\n", " from unitig_graph.h:30,\r\n", " from unitig_graph.cpp:21:\r\n", "hash_table.h: In instantiation of \u2018struct HashTableNode >\u2019:\r\n", "hash_table.h:102:16: required from \u2018HashTableIterator::value_type* HashTableIterator::operator->() const [with Value = std::pair; Key = long int; HashFunc = Hash; ExtractKey = Select1st >; EqualKey = std::equal_to; HashTableIterator::pointer = std::pair*; HashTableIterator::value_type = std::pair]\u2019\r\n", "unitig_graph.cpp:363:76: required from here\r\n", "hash_table.h:50:7: warning: ignoring packed attribute because of unpacked non-POD field \u2018std::pair HashTableNode >::value\u2019 [enabled by default]\r\n", " T value;\r\n", " ^\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c sequence_manager.cpp -o sequence_manager.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c local_assembler.cpp -o local_assembler.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c city.cpp -o city.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c lib_idba/contig_graph.cpp -o lib_idba/contig_graph.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c lib_idba/contig_graph_branch_group.cpp -o lib_idba/contig_graph_branch_group.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c lib_idba/contig_info.cpp -o lib_idba/contig_info.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c lib_idba/hash_graph.cpp -o lib_idba/hash_graph.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c lib_idba/sequence.cpp -o lib_idba/sequence.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt asm_core.cpp assembler.cpp local_assemble.cpp iterate_edges.cpp lib_idba/contig_graph.o lib_idba/contig_graph_branch_group.o lib_idba/contig_info.o lib_idba/hash_graph.o lib_idba/sequence.o succinct_dbg.o assembly_algorithms.o branch_group.o options_description.o unitig_graph.o sequence_manager.o local_assembler.o city.o -lm -lz -lpthread -o megahit_asm_core\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "In file included from hash_map.h:17:0,\r\n", " from unitig_graph.h:30,\r\n", " from assembler.cpp:34:\r\n", "hash_table.h: In instantiation of \u2018struct HashTableNode >\u2019:\r\n", "hash_table.h:599:39: required from \u2018void HashTable::clear() [with Value = std::pair; Key = long int; HashFunc = Hash; ExtractKey = Select1st >; EqualKey = std::equal_to]\u2019\r\n", "hash_table.h:277:15: required from \u2018HashTable::~HashTable() [with Value = std::pair; Key = long int; HashFunc = Hash; ExtractKey = Select1st >; EqualKey = std::equal_to]\u2019\r\n", "hash_map.h:32:7: required from here\r\n", "hash_table.h:50:7: warning: ignoring packed attribute because of unpacked non-POD field \u2018std::pair HashTableNode >::value\u2019 [enabled by default]\r\n", " T value;\r\n", " ^\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c cx1_kmer_count.cpp -o cx1_kmer_count.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c cx1_read2sdbg_s1.cpp -o cx1_read2sdbg_s1.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c cx1_read2sdbg_s2.cpp -o cx1_read2sdbg_s2.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt -c cx1_seq2sdbg.cpp -o cx1_seq2sdbg.o\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt sdbg_builder.cpp cx1_kmer_count.o options_description.o cx1_read2sdbg_s1.o cx1_read2sdbg_s2.o cx1_seq2sdbg.o sequence_manager.o -lm -lz -lpthread -o megahit_sdbg_build\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "g++ -O2 -Wall -Wno-unused-function -Wno-array-bounds -D__STDC_FORMAT_MACROS -funroll-loops -fprefetch-loop-arrays -fopenmp -I. -std=c++0x -static-libgcc -static-libstdc++ -mpopcnt tools/toolkit.cpp tools/contigs_to_fastg.cpp tools/read_stat.cpp tools/trim_low_qual_tail.cpp tools/filter_by_len.cpp -lm -lz -lpthread -o megahit_toolkit\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "chmod +x ./megahit\r\n" ] } ], "prompt_number": 30 }, { "cell_type": "markdown", "metadata": {}, "source": [ "This assembly will take about 15 minutes and will save the assembly to a folder names \"megahit_assembly\". You can read about the parameters to this program, such as --memory that specifies the maximum memory that can be used on the megahit software repo, https://github.com/voutcn/megahit." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!megahit/megahit --memory 10e9 -l 250 --k-max 81 -r SRR172903.qc.fastq --cpu-only -o megahit_assembly" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "MEGAHIT 0.3.0-beta3\r\n", "--- [Fri Jun 26 14:13:38 2015] Start assembly. Number of CPU threads 4 ---\r\n", "--- [Fri Jun 26 14:13:38 2015] k list: 21,41,61,81 ---\r\n", "--- [LIB INFO] Single-end reads: SRR172903.qc.fastq\r\n", "--- [Fri Jun 26 14:13:38 2015] Extracting solid (k+1)-mers for k = 21 ---\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "--- [Fri Jun 26 14:13:46 2015] Building graph for k = 21 ---\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "--- [Fri Jun 26 14:13:56 2015] Assembling contigs from SdBG for k = 21 ---\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "--- [Fri Jun 26 14:14:12 2015] Local assembling k = 21 ---\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "--- [Fri Jun 26 14:14:14 2015] Extracting iterative edges from k = 21 to 41 ---\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "--- [Fri Jun 26 14:14:17 2015] Building graph for k = 41 ---\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "--- [Fri Jun 26 14:14:23 2015] Assembling contigs from SdBG for k = 41 ---\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "--- [Fri Jun 26 14:14:38 2015] Local assembling k = 41 ---\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "--- [Fri Jun 26 14:14:39 2015] Extracting iterative edges from k = 41 to 61 ---\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "--- [Fri Jun 26 14:14:41 2015] Building graph for k = 61 ---\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "--- [Fri Jun 26 14:14:45 2015] Assembling contigs from SdBG for k = 61 ---\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "--- [Fri Jun 26 14:14:56 2015] Local assembling k = 61 ---\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "--- [Fri Jun 26 14:14:57 2015] Extracting iterative edges from k = 61 to 81 ---\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "--- [Fri Jun 26 14:14:57 2015] Merging to output final contigs ---\r\n", "--- [STAT] 11345 contigs, total 5254736 bp, min 200 bp, max 8884 bp, avg 463.18 bp, N50 525 bp\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "--- [Fri Jun 26 14:14:57 2015] ALL DONE. Time elapsed: 79.401388 seconds ---\r\n" ] } ], "prompt_number": 31 }, { "cell_type": "markdown", "metadata": {}, "source": [ "To take a look at the assembly, let's run the khmer assembly summary program on it, the final contigs are in megahit_assembly/final.contigs.fa. Let's get statistics on all contigs greater than or equal to 200 bp." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!python khmer/sandbox/assemstats3.py 200 megahit_assembly/final.contigs.fa" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "** cutoff: 200\r\n", "N\tsum\tmax\tfilename\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "11345\t5254736\t8884\tmegahit_assembly/final.contigs.fa\r\n" ] } ], "prompt_number": 32 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 9. Estimating abundances of contigs\n", "\n", "Once the assembly is finished, you have a set of reference contigs which you can now estimate the abundance of the metagenome. The approach for doing so is identical to that shown above where you use reference genomes.\n", "\n", "This will take about 20 minutes. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "!bash bowtie.sh megahit_assembly/final.contigs.fa SRR172903.qc.fastq" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Reference is megahit_assembly/final.contigs.fa\r\n", "Reads are SRR172903.qc.fastq\r\n", "Settings:\r\n", " Output files: \"megahit_assembly/final.contigs.fa-bowtie-index.*.bt2\"\r\n", " Line rate: 6 (line is 64 bytes)\r\n", " Lines per side: 1 (side is 64 bytes)\r\n", " Offset rate: 4 (one in 16)\r\n", " FTable chars: 10\r\n", " Strings: unpacked\r\n", " Max bucket size: default\r\n", " Max bucket size, sqrt multiplier: default\r\n", " Max bucket size, len divisor: 4\r\n", " Difference-cover sample period: 1024\r\n", " Endianness: little\r\n", " Actual local endianness: little\r\n", " Sanity checking: disabled\r\n", " Assertions: disabled\r\n", " Random seed: 0\r\n", " Sizeofs: void*:8, int:4, long:8, size_t:8\r\n", "Input files DNA, FASTA:\r\n", " megahit_assembly/final.contigs.fa\r\n", "Building a SMALL index\r\n", "Reading reference sizes\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Time reading reference sizes: 00:00:00\r\n", "Calculating joined length\r\n", "Writing header\r\n", "Reserving space for joined string\r\n", "Joining reference sequences\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Time to join reference sequences: 00:00:00\r\n", "bmax according to bmaxDivN setting: 1313684\r\n", "Using parameters --bmax 985263 --dcv 1024\r\n", " Doing ahead-of-time memory usage test\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Passed! Constructing with these parameters: --bmax 985263 --dcv 1024\r\n", "Constructing suffix-array element generator\r\n", "Building DifferenceCoverSample\r\n", " Building sPrime\r\n", " Building sPrimeOrder\r\n", " V-Sorting samples\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " V-Sorting samples time: 00:00:00\r\n", " Allocating rank array\r\n", " Ranking v-sort output\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Ranking v-sort output time: 00:00:00\r\n", " Invoking Larsson-Sadakane on ranks\r\n", " Invoking Larsson-Sadakane on ranks time: 00:00:00\r\n", " Sanity-checking and returning\r\n", "Building samples\r\n", "Reserving space for 12 sample suffixes\r\n", "Generating random suffixes\r\n", "QSorting 12 sample offsets, eliminating duplicates\r\n", "QSorting sample offsets, eliminating duplicates time: 00:00:00\r\n", "Multikey QSorting 12 samples\r\n", " (Using difference cover)\r\n", " Multikey QSorting samples time: 00:00:00\r\n", "Calculating bucket sizes\r\n", " Binary sorting into buckets\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 10%\r\n", " 20%\r\n", " 30%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 40%\r\n", " 50%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 60%\r\n", " 70%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 80%\r\n", " 90%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 100%\r\n", " Binary sorting into buckets time: 00:00:00\r\n", "Splitting and merging\r\n", " Splitting and merging time: 00:00:00\r\n", "Split 2, merged 5; iterating...\r\n", " Binary sorting into buckets\r\n", " 10%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 20%\r\n", " 30%\r\n", " 40%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 50%\r\n", " 60%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 70%\r\n", " 80%\r\n", " 90%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 100%\r\n", " Binary sorting into buckets time: 00:00:01\r\n", "Splitting and merging\r\n", " Splitting and merging time: 00:00:00\r\n", "Avg bucket size: 583859 (target: 985262)\r\n", "Converting suffix-array elements to index image\r\n", "Allocating ftab, absorbFtab\r\n", "Entering Ebwt loop\r\n", "Getting block 1 of 9\r\n", " Reserving size (985263) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n", " 20%\r\n", " 30%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 40%\r\n", " 50%\r\n", " 60%\r\n", " 70%\r\n", " 80%\r\n", " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 409513\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 409514\r\n", "Getting block 2 of 9\r\n", " Reserving size (985263) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n", " 20%\r\n", " 30%\r\n", " 40%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 50%\r\n", " 60%\r\n", " 70%\r\n", " 80%\r\n", " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 717594\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 717595\r\n", "Getting block 3 of 9\r\n", " Reserving size (985263) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n", " 20%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 30%\r\n", " 40%\r\n", " 50%\r\n", " 60%\r\n", " 70%\r\n", " 80%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 275862\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 275863\r\n", "Getting block 4 of 9\r\n", " Reserving size (985263) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n", " 20%\r\n", " 30%\r\n", " 40%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 50%\r\n", " 60%\r\n", " 70%\r\n", " 80%\r\n", " 90%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 933544\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 933545\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Getting block 5 of 9\r\n", " Reserving size (985263) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n", " 20%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 30%\r\n", " 40%\r\n", " 50%\r\n", " 60%\r\n", " 70%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 80%\r\n", " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 456717\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 456718\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Getting block 6 of 9\r\n", " Reserving size (985263) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n", " 20%\r\n", " 30%\r\n", " 40%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 50%\r\n", " 60%\r\n", " 70%\r\n", " 80%\r\n", " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:01\r\n", " Sorting block of length 650578\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 650579\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Getting block 7 of 9\r\n", " Reserving size (985263) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n", " 20%\r\n", " 30%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 40%\r\n", " 50%\r\n", " 60%\r\n", " 70%\r\n", " 80%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 551983\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 551984\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Getting block 8 of 9\r\n", " Reserving size (985263) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n", " 20%\r\n", " 30%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 40%\r\n", " 50%\r\n", " 60%\r\n", " 70%\r\n", " 80%\r\n", " 90%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 736987\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 736988\r\n", "Getting block 9 of 9\r\n", " Reserving size (985263) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 20%\r\n", " 30%\r\n", " 40%\r\n", " 50%\r\n", " 60%\r\n", " 70%\r\n", " 80%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 521950\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 521951\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Exited Ebwt loop\r\n", "fchr[A]: 0\r\n", "fchr[C]: 1811471\r\n", "fchr[G]: 2639376\r\n", "fchr[T]: 3476168\r\n", "fchr[$]: 5254736\r\n", "Exiting Ebwt::buildToDisk()\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Returning from initFromVector\r\n", "Wrote 6549449 bytes to primary EBWT file: megahit_assembly/final.contigs.fa-bowtie-index.1.bt2\r\n", "Wrote 1313692 bytes to secondary EBWT file: megahit_assembly/final.contigs.fa-bowtie-index.2.bt2\r\n", "Re-opening _in1 and _in2 as input streams\r\n", "Returning from Ebwt constructor\r\n", "Headers:\r\n", " len: 5254736\r\n", " bwtLen: 5254737\r\n", " sz: 1313684\r\n", " bwtSz: 1313685\r\n", " lineRate: 6\r\n", " offRate: 4\r\n", " offMask: 0xfffffff0\r\n", " ftabChars: 10\r\n", " eftabLen: 20\r\n", " eftabSz: 80\r\n", " ftabLen: 1048577\r\n", " ftabSz: 4194308\r\n", " offsLen: 328422\r\n", " offsSz: 1313688\r\n", " lineSz: 64\r\n", " sideSz: 64\r\n", " sideBwtSz: 48\r\n", " sideBwtLen: 192\r\n", " numSides: 27369\r\n", " numLines: 27369\r\n", " ebwtTotLen: 1751616\r\n", " ebwtTotSz: 1751616\r\n", " color: 0\r\n", " reverse: 0\r\n", "Total time for call to driver() for forward index: 00:00:02\r\n", "Reading reference sizes\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Time reading reference sizes: 00:00:00\r\n", "Calculating joined length\r\n", "Writing header\r\n", "Reserving space for joined string\r\n", "Joining reference sequences\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Time to join reference sequences: 00:00:00\r\n", " Time to reverse reference sequence: 00:00:00\r\n", "bmax according to bmaxDivN setting: 1313684\r\n", "Using parameters --bmax 985263 --dcv 1024\r\n", " Doing ahead-of-time memory usage test\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Passed! Constructing with these parameters: --bmax 985263 --dcv 1024\r\n", "Constructing suffix-array element generator\r\n", "Building DifferenceCoverSample\r\n", " Building sPrime\r\n", " Building sPrimeOrder\r\n", " V-Sorting samples\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " V-Sorting samples time: 00:00:00\r\n", " Allocating rank array\r\n", " Ranking v-sort output\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Ranking v-sort output time: 00:00:00\r\n", " Invoking Larsson-Sadakane on ranks\r\n", " Invoking Larsson-Sadakane on ranks time: 00:00:00\r\n", " Sanity-checking and returning\r\n", "Building samples\r\n", "Reserving space for 12 sample suffixes\r\n", "Generating random suffixes\r\n", "QSorting 12 sample offsets, eliminating duplicates\r\n", "QSorting sample offsets, eliminating duplicates time: 00:00:00\r\n", "Multikey QSorting 12 samples\r\n", " (Using difference cover)\r\n", " Multikey QSorting samples time: 00:00:00\r\n", "Calculating bucket sizes\r\n", " Binary sorting into buckets\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 10%\r\n", " 20%\r\n", " 30%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 40%\r\n", " 50%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 60%\r\n", " 70%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 80%\r\n", " 90%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 100%\r\n", " Binary sorting into buckets time: 00:00:00\r\n", "Splitting and merging\r\n", " Splitting and merging time: 00:00:00\r\n", "Avg bucket size: 656841 (target: 985262)\r\n", "Converting suffix-array elements to index image\r\n", "Allocating ftab, absorbFtab\r\n", "Entering Ebwt loop\r\n", "Getting block 1 of 8\r\n", " Reserving size (985263) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n", " 20%\r\n", " 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"stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 965285\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Getting block 3 of 8\r\n", " Reserving size (985263) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n", " 20%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 30%\r\n", " 40%\r\n", " 50%\r\n", " 60%\r\n", " 70%\r\n", " 80%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 368748\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 368749\r\n", "Getting block 4 of 8\r\n", " Reserving size (985263) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 20%\r\n", " 30%\r\n", " 40%\r\n", " 50%\r\n", " 60%\r\n", " 70%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 80%\r\n", " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:01\r\n", " Sorting block of length 970675\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 970676\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Getting block 5 of 8\r\n", " Reserving size (985263) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n", " 20%\r\n", " 30%\r\n", " 40%\r\n", " 50%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 60%\r\n", " 70%\r\n", " 80%\r\n", " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 562616\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 562617\r\n", "Getting block 6 of 8\r\n", " Reserving size (985263) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 10%\r\n", " 20%\r\n", " 30%\r\n", " 40%\r\n", " 50%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 60%\r\n", " 70%\r\n", " 80%\r\n", " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 804480\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 804481\r\n", "Getting block 7 of 8\r\n", " Reserving size (985263) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 10%\r\n", " 20%\r\n", " 30%\r\n", " 40%\r\n", " 50%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 60%\r\n", " 70%\r\n", " 80%\r\n", " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:00\r\n", " Sorting block of length 952899\r\n", " (Using difference cover)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Sorting block time: 00:00:00\r\n", "Returning block of 952900\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Getting block 8 of 8\r\n", " Reserving size (985263) for bucket\r\n", " Calculating Z arrays\r\n", " Calculating Z arrays time: 00:00:00\r\n", " Entering block accumulator loop:\r\n", " 10%\r\n", " 20%\r\n", " 30%\r\n", " 40%\r\n", " 50%\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 60%\r\n", " 70%\r\n", " 80%\r\n", " 90%\r\n", " 100%\r\n", " Block accumulator loop time: 00:00:01\r\n", " Sorting block of length 92063\r\n", " (Using difference cover)\r\n", " Sorting block time: 00:00:00\r\n", "Returning block of 92064\r\n", "Exited Ebwt loop\r\n", "fchr[A]: 0\r\n", "fchr[C]: 1811471\r\n", "fchr[G]: 2639376\r\n", "fchr[T]: 3476168\r\n", "fchr[$]: 5254736\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Exiting Ebwt::buildToDisk()\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Returning from initFromVector\r\n", "Wrote 6549449 bytes to primary EBWT file: megahit_assembly/final.contigs.fa-bowtie-index.rev.1.bt2\r\n", "Wrote 1313692 bytes to secondary EBWT file: megahit_assembly/final.contigs.fa-bowtie-index.rev.2.bt2\r\n", "Re-opening _in1 and _in2 as input streams\r\n", "Returning from Ebwt constructor\r\n", "Headers:\r\n", " len: 5254736\r\n", " bwtLen: 5254737\r\n", " sz: 1313684\r\n", " bwtSz: 1313685\r\n", " lineRate: 6\r\n", " offRate: 4\r\n", " offMask: 0xfffffff0\r\n", " ftabChars: 10\r\n", " eftabLen: 20\r\n", " eftabSz: 80\r\n", " ftabLen: 1048577\r\n", " ftabSz: 4194308\r\n", " offsLen: 328422\r\n", " offsSz: 1313688\r\n", " lineSz: 64\r\n", " sideSz: 64\r\n", " sideBwtSz: 48\r\n", " sideBwtLen: 192\r\n", " numSides: 27369\r\n", " numLines: 27369\r\n", " ebwtTotLen: 1751616\r\n", " ebwtTotSz: 1751616\r\n", " color: 0\r\n", " reverse: 1\r\n", "Total time for backward call to driver() for mirror index: 00:00:03\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "820417 reads; of these:\r\n", " 820417 (100.00%) were unpaired; of these:\r\n", " 298465 (36.38%) aligned 0 times\r\n", " 513783 (62.62%) aligned exactly 1 time\r\n", " 8169 (1.00%) aligned >1 times\r\n", "63.62% overall alignment rate\r\n", "[samopen] SAM header is present: 11345 sequences.\r\n" ] } ], "prompt_number": 33 }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can take a look at the results of the mapping much like you did above when we were mapping reads to the NCBI genome." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!cat reads-mapped.count.txt" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "521952\r\n" ] } ], "prompt_number": 34 }, { "cell_type": "code", "collapsed": false, "input": [ "!cat reads-unmapped.count.txt" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "298465\r\n" ] } ], "prompt_number": 35 }, { "cell_type": "code", "collapsed": false, "input": [ "!cat reads.by.contigs.txt" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "k61_2\t218\t15\t0\r\n", "k61_3\t206\t6\t0\r\n", "k61_4\t256\t104\t0\r\n", "k61_5\t258\t14\t0\r\n", "k61_6\t305\t21\t0\r\n", "k61_7\t284\t13\t0\r\n", "k61_8\t256\t63\t0\r\n", "k61_9\t593\t51\t0\r\n", "k61_10\t400\t36\t0\r\n", "k61_11\t463\t26\t0\r\n", "k61_12\t270\t12\t0\r\n", "k61_13\t344\t26\t0\r\n", "k61_14\t335\t31\t0\r\n", 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Annotating the assembled contigs\n", "\n", "Sequencing is often used to determine \"who\" and/or \"what\" is in your sample. In our case, we know that the HMP mock community should orignate from a set of genomes (which we actually downlaoded above). One of the most popular tools of comparing an unknown sequence to a known reference is The Basic Local Alignment Search Tool (or BLAST). To identify the origin of our contigs, we will align assembled contigs to the genomes used in the HMP mock community.\n", "\n", "The first thing we will do is download the BLAST software. Given the increasing volume of sequencing datasets, one may also consider new tools for more efficient annotation are now available such as Diamond (https://github.com/bbuchfink/diamond/, http://dx.doi.org/10.1038/nmeth.3176). " ] }, { "cell_type": "code", "collapsed": false, "input": [ "!wget ftp://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/2.2.30/ncbi-blast-2.2.30+-x64-linux.tar.gz\n", "!tar -xvf ncbi-blast-2.2.30+-x64-linux.tar.gz" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "--2015-06-26 14:20:56-- ftp://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/2.2.30/ncbi-blast-2.2.30+-x64-linux.tar.gz\r\n", " => \u2018ncbi-blast-2.2.30+-x64-linux.tar.gz\u2019\r\n", "Resolving ftp.ncbi.nlm.nih.gov (ftp.ncbi.nlm.nih.gov)... 130.14.250.12, 2607:f220:41e:250::11\r\n", "Connecting to ftp.ncbi.nlm.nih.gov (ftp.ncbi.nlm.nih.gov)|130.14.250.12|:21... connected.\r\n", "Logging in as anonymous ... Logged in!\r\n", "==> SYST ... done. ==> PWD ... done.\r\n", "==> TYPE I ... done. ==> CWD (1) /blast/executables/blast+/2.2.30 ... done.\r\n", "==> SIZE ncbi-blast-2.2.30+-x64-linux.tar.gz ... " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "172818286\r\n", "==> PASV ... done. ==> RETR ncbi-blast-2.2.30+-x64-linux.tar.gz ... done.\r\n", "Length: 172818286 (165M) (unauthoritative)\r\n", "\r\n", "\r", " 0% [ ] 0 --.-K/s " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r", "11% [===> ] 19,799,762 87.3MB/s " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r", "33% [===========> ] 57,513,952 132MB/s " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r", "57% [=====================> ] 98,741,750 153MB/s " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r", "82% [===============================> ] 142,527,990 166MB/s " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\r", "100%[======================================>] 172,818,286 164MB/s in 1.0s \r\n", "\r\n", "2015-06-26 14:20:57 (164 MB/s) - \u2018ncbi-blast-2.2.30+-x64-linux.tar.gz\u2019 saved [172818286]\r\n", "\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/\r\n", "ncbi-blast-2.2.30+/LICENSE\r\n", "ncbi-blast-2.2.30+/ChangeLog\r\n", "ncbi-blast-2.2.30+/ncbi_package_info\r\n", "ncbi-blast-2.2.30+/doc/\r\n", "ncbi-blast-2.2.30+/doc/README.txt\r\n", "ncbi-blast-2.2.30+/README\r\n", "ncbi-blast-2.2.30+/bin/\r\n", "ncbi-blast-2.2.30+/bin/tblastn\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/blastdbcheck\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/blast_formatter\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/deltablast\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/tblastx\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/blastp\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/makeblastdb\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/blastn\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/windowmasker\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/blastdbcmd\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/makembindex\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/makeprofiledb\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/update_blastdb.pl\r\n", "ncbi-blast-2.2.30+/bin/blastdb_aliastool\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/dustmasker\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/psiblast\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/rpsblast\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/rpstblastn\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/convert2blastmask\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/blastx\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/segmasker\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "ncbi-blast-2.2.30+/bin/legacy_blast.pl\r\n" ] } ], "prompt_number": 40 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we will make a searchable database for the BLAST software. First, we'll concatenate all the genomes in the genomes directory to one file." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!cat genomes/*fa >> all-genomes.fa\n", "!ncbi-blast-2.2.30+/bin/makeblastdb -in all-genomes.fa -dbtype nucl -out all-genomes\n", "!ncbi-blast-2.2.30+/bin/blastn -db all-genomes -query megahit_assembly/final.contigs.fa -outfmt 6 -out contigs.x.all-genomes.blastnout" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\r\n", "\r\n", "Building a new DB, current time: 06/26/2015 14:21:06\r\n", "New DB name: all-genomes\r\n", "New DB title: all-genomes.fa\r\n", "Sequence type: Nucleotide\r\n", "Keep Linkouts: T\r\n", "Keep MBits: T\r\n", "Maximum file size: 1000000000B\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Adding sequences from FASTA; added 60 sequences in 1.84624 seconds.\r\n" ] } ], "prompt_number": 41 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The above command aligns each query (each sequence in the assembled final.contings.fa file) with each sequence (e.g., genome in all-genomes.fa). The -outfmt tells the program to save the results in a tab-delimited format in the -out file contigs.x.all-genomes.blastnout.\n", "\n", "Let's take a look at the first 10 lines of that file. You'll see the query (contig) and the hit (genome) followed by the percent identity, the length of alignment, mismatch counts, gap open counts, query start position, query end position, subject start position, subject end position, E-value, and bit score. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "!head -n 10 contigs.x.all-genomes.blastnout" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "k61_2\tgi|27466918|ref|NC_004461.1|\t100.00\t218\t0\t0\t1\t218\t1986675\t1986892\t5e-112\t 403\r\n", "k61_2\tgi|27466918|ref|NC_004461.1|\t100.00\t218\t0\t0\t1\t218\t1986675\t1986892\t5e-112\t 403\r\n", "k61_3\tgi|24378532|ref|NC_004350.1|\t100.00\t206\t0\t0\t1\t206\t1898492\t1898697\t2e-105\t 381\r\n", "k61_3\tgi|24378532|ref|NC_004350.1|\t100.00\t206\t0\t0\t1\t206\t1898492\t1898697\t2e-105\t 381\r\n", "k61_4\tgi|32470532|ref|NC_005004.1|\t95.31\t256\t12\t0\t1\t256\t10969\t10714\t4e-113\t 407\r\n", "k61_4\tgi|32470532|ref|NC_005004.1|\t95.31\t256\t12\t0\t1\t256\t10969\t10714\t4e-113\t 407\r\n", "k61_4\tgi|32470555|ref|NC_005005.1|\t92.58\t256\t19\t0\t1\t256\t10016\t10271\t2e-101\t 368\r\n", "k61_4\tgi|32470555|ref|NC_005005.1|\t92.58\t256\t19\t0\t1\t256\t10016\t10271\t2e-101\t 368\r\n", "k61_5\tgi|24378532|ref|NC_004350.1|\t100.00\t258\t0\t0\t1\t258\t928208\t928465\t3e-134\t 477\r\n", "k61_5\tgi|24378532|ref|NC_004350.1|\t100.00\t258\t0\t0\t1\t258\t928208\t928465\t3e-134\t 477\r\n" ] } ], "prompt_number": 42 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Depending on your scientific question, it may be of more interest to have open reading frames (ORFs) annotated rather than contig sequences. In this case, there exist multiple ORF callers (e.g., FragGeneScan, http://nar.oxfordjournals.org/content/early/2010/08/29/nar.gkq747.abstract and Metagene, http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1636498/) that can be used. We can call ORFs from our contigs using FragGeneScan. We will download, install, and then call ORFs from our contigs as follows:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!wget http://downloads.sourceforge.net/project/fraggenescan/FragGeneScan1.19.tar.gz\n", "!tar -xvf FragGeneScan1.19.tar.gz" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "--2015-06-26 14:21:15-- http://downloads.sourceforge.net/project/fraggenescan/FragGeneScan1.19.tar.gz\r\n", "Resolving downloads.sourceforge.net (downloads.sourceforge.net)... 216.34.181.59\r\n", "Connecting to downloads.sourceforge.net (downloads.sourceforge.net)|216.34.181.59|:80... connected.\r\n", "HTTP request sent, awaiting response... 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KB/s) - \u2018FragGeneScan1.19.tar.gz\u2019 saved [11371331/11371331]\r\n", "\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "FragGeneScan1.19/\r\n", "FragGeneScan1.19/post_process.pl\r\n", "FragGeneScan1.19/run_FragGeneScan.pl\r\n", "FragGeneScan1.19/hmm.h\r\n", "FragGeneScan1.19/README\r\n", "FragGeneScan1.19/hmm_lib.c\r\n", "FragGeneScan1.19/Makefile\r\n", "FragGeneScan1.19/run_hmm.c\r\n", "FragGeneScan1.19/example/\r\n", "FragGeneScan1.19/example/NC_000913.test.454.5.gff\r\n", "FragGeneScan1.19/example/NC_000913.test.ffn\r\n", "FragGeneScan1.19/example/NC_000913.test.out\r\n", "FragGeneScan1.19/example/NC_000913.test.gff\r\n", "FragGeneScan1.19/example/NC_000913-454.test.gff\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "FragGeneScan1.19/example/NC_000913.test.454.5.out\r\n", "FragGeneScan1.19/example/NC_000913-454.test.out\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "FragGeneScan1.19/example/NC_000913.test.454.5.faa\r\n", "FragGeneScan1.19/example/NC_000913-454.fna\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "FragGeneScan1.19/example/NC_000913.fna\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "FragGeneScan1.19/example/NC_000913.test.454.5.ffn\r\n", "FragGeneScan1.19/example/NC_000913-454.test.ffn\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "FragGeneScan1.19/example/NC_000913.test.faa\r\n", "FragGeneScan1.19/example/NC_000913-454.test.faa\r\n", "FragGeneScan1.19/util_lib.h\r\n", "FragGeneScan1.19/util_lib.c\r\n", "FragGeneScan1.19/FGS_gff.py\r\n", "FragGeneScan1.19/train/\r\n", "FragGeneScan1.19/train/illumina_10\r\n", "FragGeneScan1.19/train/454_5\r\n", "FragGeneScan1.19/train/pwm\r\n", "FragGeneScan1.19/train/454_30\r\n", "FragGeneScan1.19/train/rgene\r\n", "FragGeneScan1.19/train/stop1\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "FragGeneScan1.19/train/noncoding\r\n", "FragGeneScan1.19/train/complete\r\n", "FragGeneScan1.19/train/start\r\n", "FragGeneScan1.19/train/454_10\r\n", "FragGeneScan1.19/train/start1\r\n", "FragGeneScan1.19/train/illumina_5\r\n", "FragGeneScan1.19/train/sanger_10\r\n", "FragGeneScan1.19/train/gene\r\n", "FragGeneScan1.19/train/illumina_1\r\n", "FragGeneScan1.19/train/stop\r\n", "FragGeneScan1.19/train/sanger_5\r\n" ] } ], "prompt_number": 43 }, { "cell_type": "code", "collapsed": false, "input": [ "!bash fraggenescan-install.sh" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "rm -rf *.o FragGeneScan* *~\r\n", "gcc -c -o util_lib.o util_lib.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -c -o hmm_lib.o hmm_lib.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -c -o run_hmm.o run_hmm.c\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "gcc -O3 -o FragGeneScan util_lib.o hmm_lib.o run_hmm.o -lm -lpthread\r\n" ] } ], "prompt_number": 44 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will run FragGeneScan on the assembled contigs, assuming that it fits the training profile of a \"complete\" genome sequence (in their documentaion, this equals complete genomic sequences or short sequence reads without sequencing error)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!FragGeneScan1.19/FragGeneScan -s megahit_assembly/final.contigs.fa -o final.contigs.orfs.fa -w 1 -t complete " ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "no. of seqs: 11345\r\n" ] } ], "prompt_number": 45 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The ORFs called are contained as FASTA files in final.contigs.orfs.fa.faa (amino acids) and final.contigs.orfs.fa.ffn (nucleotides). You can annotate these against a database of your choice just as described for the contigs above." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 11. Going forward" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now you have all the information you need to produce the following information:\n", "\n", "* Sequence Abundance Information: Sequence (e.g., contig) and abundance (e.g., number of mapped reads)\n", "* Sequence Annotation Information: Sequence (eg., contig) and NCBI genome\n", "\n", "You'll note that this is similar to 16S rRNA amplicon analysis where you'd have an OTU abundance table and OTU best hit annotations. For metagenomic analysis, this information takes you into further analysis and visualization packages like PhyloSeq in R (http://joey711.github.io/phyloseq/)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once you run through this tutorial on this workbook, a good exercise would be to try to run the assembly outside the IPython Notebook environment. To do so, you can log into your EC2 instance, navigate to the directory where this data is stored (cd /mnt/frontiers-review-2015), and you could run every command in this notebook on the command line (with the exception of the \"!\" at the beginning of each command in the notebook. Also, note that you will not have to reinstall the software." ] }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [] } ], "metadata": {} } ] }