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This is a new meassage

#computational-project-cookie-cutter A cookie cutter (aka project template) to set up a folder structure for a computational project. This is a quick way to setup a folder structure that follows one standard to organize a project. This helps with project management, reproducibility, sharing, and publishing your data, analysis, and results.

This project was inspired (and modeled off) by:

Noble WS 2009 A Quick Guide to Organizing Computational Biology Projects. PLoS Comput Biol 5 7: e1000424. doi:10.1371/journal.pcbi.1000424

What it does

the setup_project_dir.sh script creates the following folder structure:

Path_Provided
|- doc/           # directory for documentation, one subdirectory for manuscript
|
|- data/          # data for storing fixed data sets
|
|- src/           # any source code
|
|- bin/           # any compiled binaries or scripts
|
|- results/       # output for tracking computational experiments performed on data

A README containing a brief blurb is placed in each folder. This is because git will not track empty folders and placing a README will remind you of what goes in each folder, and also the overall folder structure will be retained

If you use a webservice in conjunction with your version control (e.g. github, bitbucket, gitlabs, gitbucket, etc) the webservice will be able to render these README and other markdown files automatically.

This project was taken from this github repo

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  • Python 100.0%