{ "cells": [ { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Demonstrating `bendIt` running in Jupyter\n", "\n", "The standalone version of `bendIt` is installed and ready to be run in this launched Jupyter environment. (If you are viewing this notebook in static form, you should 'launch' it in active form from [here](https://github.com/fomightez/bendit-binder). \n", "\n", "If you want the basic usage block and an example of using it on the command line, go to [this notebook](basic_bendit_commandline.ipynb). \n", "\n", "This notebook will illustrate a realistic workflow where a number of sequences in a multi-sequence fasta file are analyzed with `bendIt`. This should serve to show the advantage of using the standalone version of bend.it over [the bend.it Server](http://pongor.itk.ppke.hu/dna/bend_it.html#/bendit_form) for processing more than a few sequences, and touch upon some of the benefits of having `bendIt` working in the Jupyter environment.\n", "\n", "------\n", "\n", "
If you haven't used one of these notebooks before, they're basically web pages in which you can write, edit, and run live code. They're meant to encourage experimentation, so don't feel nervous. Just try running a few cells and see what happens!.
\n", "\n", "\n", " Some tips:\n", "