{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Using Knetminer SPARQL with Jupyter, a Demo\n", "\n", "With Knetminer available as SPARQL, we can do our own data analyses, in addition to using the \n", "intuitive functionality of the [Knetminer web application][10].\n", "\n", "Here it is a simple exmple. Let's do some investigation on the question: which biological \n", "processes are involved in yellow rust? \n", "\n", "One way to figure out an answer is to start from genes mentioned in publications, then follow the \n", "proteins encoded by such genes, and see the GO biological processes those proteins are annotated\n", "with. \n", "\n", "If we look ad the [knowledge graph that Knetminer has for wheat][20], we soon discover that \n", "actually we also have to consider proteins related to gene-encoded proteins, since proteins with \n", "similar sequences or other public cross references are often relevant. \n", "\n", "In SPARQL and using our [BioKNO Ontology][30], this translates to the following query:\n", "\n", "[10]: https://knetminer.com\n", "[20]: http://knetminer-data.cyverseuk.org/lodestar/sparql\n", "[30]: https://github.com/Rothamsted/bioknet-onto" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "query = \"\"\"\n", "PREFIX bk: \n", "PREFIX bkr: \n", "PREFIX bka: \n", "PREFIX bkg: \n", "\n", "SELECT DISTINCT ?bioProcName (COUNT (?geneName) AS ?genes)\n", "FROM bkg:poaceae # The endpoint has many datasets, we're looking into the graminaceae only\n", "WHERE\n", "{\n", " # The publications of interest\n", " ?pub a bk:Publication;\n", " bka:AbstractHeader ?title;\n", "\n", " FILTER ( CONTAINS ( ?title, \"yellow rust\" ) )\n", "\n", " # The genes mentioned by the publications\n", " ?gene bk:occ_in ?pub;\n", " a bk:Gene;\n", " bk:prefName ?geneName.\n", " \n", " # They encode proteins and there might be related proteins. Let's consider relation chains of\n", " # 0 (the encoded protein is directly involved) to 2.\n", " # predicates are repeated with the ^ prefix, to consider both directions\n", " # h_s_s := \"has similar sequence\"\n", " ?gene bk:enc ?protein.\n", " ?protein (bk:h_s_s|bk:xref|bk:ortho|^bk:h_s_s|^bk:xref|^bk:ortho){0,1} ?rprotein.\n", "\n", " ?rprotein bk:participates_in ?bioProc.\n", " \n", " ?bioProc bk:prefName ?bioProcName.\n", "}\n", "GROUP BY ?bioProcName\n", "ORDER BY DESC ( ?genes )\n", "LIMIT 100\n", "\"\"\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can invoke the query against our endpoint, using the SPARQLWrapper libray. Let's also convert the result to a convenient matrix and render it as a nice table." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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GO Bio Proc# Genes
0Brassinosteroid Mediated Signaling Pathway60
1Protein Phosphorylation53
2Nodulation36
3Innate Immune Response33
4Detection Of Brassinosteroid Stimulus26
5Regulation Of Seedling Development24
6Brassinosteroid Homeostasis24
7Positive Regulation Of Flower Development24
8Pollen Exine Formation24
9Microtubule Bundle Formation24
10Anther Wall Tapetum Cell Differentiation24
11Response To UV-B24
12Leaf Development24
13Negative Regulation Of Cell Death24
14Skotomorphogenesis24
15Defense Response19
16Plant-type Hypersensitive Response18
17Protein Autophosphorylation18
18Microsporogenesis6
19Megasporogenesis6
20Anther Wall Tapetum Development6
21Regulation Of Growth5
22Positive Regulation Of Innate Immune Response5
23Regulation Of Defense Response To Fungus5
24Cell Differentiation5
25Somatic Embryogenesis5
\n", "
" ], "text/plain": [ " GO Bio Proc # Genes\n", "0 Brassinosteroid Mediated Signaling Pathway 60\n", "1 Protein Phosphorylation 53\n", "2 Nodulation 36\n", "3 Innate Immune Response 33\n", "4 Detection Of Brassinosteroid Stimulus 26\n", "5 Regulation Of Seedling Development 24\n", "6 Brassinosteroid Homeostasis 24\n", "7 Positive Regulation Of Flower Development 24\n", "8 Pollen Exine Formation 24\n", "9 Microtubule Bundle Formation 24\n", "10 Anther Wall Tapetum Cell Differentiation 24\n", "11 Response To UV-B 24\n", "12 Leaf Development 24\n", "13 Negative Regulation Of Cell Death 24\n", "14 Skotomorphogenesis 24\n", "15 Defense Response 19\n", "16 Plant-type Hypersensitive Response 18\n", "17 Protein Autophosphorylation 18\n", "18 Microsporogenesis 6\n", "19 Megasporogenesis 6\n", "20 Anther Wall Tapetum Development 6\n", "21 Regulation Of Growth 5\n", "22 Positive Regulation Of Innate Immune Response 5\n", "23 Regulation Of Defense Response To Fungus 5\n", "24 Cell Differentiation 5\n", "25 Somatic Embryogenesis 5" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from SPARQLWrapper import SPARQLWrapper2\n", "\n", "# Go with the query\n", "sparql = SPARQLWrapper2 ( \"http://knetminer-data.cyverseuk.org/lodestar/sparql\" )\n", "sparql.setQuery ( query )\n", "\n", "# Clean it up\n", "# it's a list of tuples, each tuple is like [ $select-variable: ]\n", "result = sparql.query().bindings\n", "# Every value is a resource structure (unless you already mapped it in SPARQL)\n", "result = [ [ r['bioProcName'].value, int ( r['genes'].value ) ] for r in result ]\n", "\n", "# Render nicely\n", "import pandas as pd\n", "dframe = pd.DataFrame ( result, columns = [ \"GO Bio Proc\", \"# Genes\" ] )\n", "display ( dframe )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Cool! Let's see them better in a chart:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "\n", "import matplotlib.pyplot as plt\n", "import matplotlib\n", "import textwrap\n", "\n", "# Let's fix a few visualisation things\n", "#plt.rcParams [ \"font.size\" ] = \"20\"\n", "\n", "# Including figure size\n", "figsz = plt.gcf().get_size_inches()\n", "plt.gcf().set_size_inches ( figsz * 3 ) \n", "\n", "ylabels = [ row [0] for row in result ]\n", "values = [ row [ 1 ] for row in result ]\n", "\n", "# reverse order, probably there are better ways to do it in mathplot...\n", "ypos = [ len( ylabels ) - 1 - i for i, _ in enumerate ( ylabels ) ]\n", "\n", "# An horizontal bar chart\n", "plt.barh ( ypos, values, color = 'blue' )\n", "#plt.ylabel ( \"GO Bio Proc\" )\n", "plt.xlabel( \"#Genes\" )\n", "plt.title ( \"GO Biological Processes about Yellow Rust\" )\n", "plt.yticks( ypos, ylabels )\n", "\n", "plt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 2 }