Build a Reproducible Workflow from Scratch with Jupyter Notebooks (in about an hour)
- Registration Closed
- Dec 06, 2017
- 10:30 AM to 12:00 PM
- NIH Library Training Room | Online
This class is offered as part of the 2017 NIH Hour of Code Celebration. Please note, in-person seats are limited to 20 participants but webinar space is unlimited. If the class is on a waitlist, please consider signing up for the webinar option below.
In this hands-on demonstration, we will utilize the Anaconda python distribution, Jupyter notebook, and python scientific stack to build a reproducible, bioinformatics workflow from scratch. From installation to automation, we will utilize the power of the Jupyter notebook and IPython kernel to seamlessly join a variety of existing components into a fully automated workflow that can be run with a single command. In this hands-on demonstration, we will utilize shell commands, popular bioinformatics applications, the Anaconda installer (conda), and the python programming language and scientific stack to assemble a workflow.
Laptops will be provided for in-person attendees, but if you'd like to follow along by webinar, you should have access to a computer with:
- A Linux shell;
- Mac and Linux computers come with this installed
- Windows users may install git-bash, part of git for windows (https://git-for-windows.github.io)
- A recent installation of the Anaconda python distribution for python 3.6