Skip to content

Instantly share code, notes, and snippets.

@ctb
Created February 15, 2015 12:00
Show Gist options
  • Save ctb/c85ff33997fa52002510 to your computer and use it in GitHub Desktop.
Save ctb/c85ff33997fa52002510 to your computer and use it in GitHub Desktop.
Reproducibility workflow workshop at MSU - description

Seminar Topic: Reproducible Computational Analysis - How to start a new project

Time: March 24, 2015 from 9:00am- 12:00 noon
Location: Biomedical & Physical Sciences Bldg, Room 2245 Instructor: Dr. Titus Brown

Description

Computational science projects, from data analysis to modeling, can benefit dramatically from a little up-front investment in automation; starting off with version control and automated building of results will pay off in efficiency, agility, and both transparency and reproducibility of the results. However, most computational researchers have never been exposed to a completely automated analysis pipeline. I will demonstrate the process of initiating a new project, building a few initial scripts, and automating the generation of results, as well as building some graphs. While the topic will be from my own research in bioinformatics, the overall approach should apply to anyone doing data analysis or simulations.

Technology used will include git, IPython Notebook, and ‘make’.

This is an interactive seminar intended for computational science researchers with some experience in version control and scripting (for example, if you’ve taken a Software Carpentry workshop you will be at a good starting point). Register here.

Questions? Email ctb@msu.edu

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment