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.