Ten Simple Rules for Taking Advantage of Git and GitHub
Name
Perez-Riverol-2016-Ten Simple Rules for.pdf
Size
600 KB
Format
Adobe PDF
Checksum (MD5)
78466e9b4eeda509a801fce30b7ffd04
Author(s)
Perez-Riverol, Yasset
Gatto, Laurent
Wang, Rui
Sachsenberg, Timo
Uszkoreit, Julian
Leprevost, Felipe da Veiga
Fufezan, Christian
Ternent, Tobias
Eglen, Stephen J.
Katz, Daniel S.
Date Issued
July 2014
Journal
PLOS Computational Biology
Publisher
Public Library of Science
Citation
Perez-Riverol, Yasset et al. “Ten Simple Rules for Taking Advantage of Git and GitHub.” Ed. Scott Markel. PLOS Computational Biology 12.7 (2016): e1004947.
Version
Final published version
Abstract
Bioinformatics is a broad discipline in which one common denominator is the need to produce and/or use software that can be applied to biological data in different contexts. To enable and ensure the replicability and traceability of scientific claims, it is essential that the scientific publication, the corresponding datasets, and the data analysis are made publicly available. All software used for the analysis should be either carefully documented (e.g., for commercial software) or, better yet, openly shared and directly accessible to others. The rise of openly available software and source code alongside concomitant collaborative development is facilitated
by the existence of several code repository services such as SourceForge, Bitbucket, GitLab, and GitHub, among others. These resources are also essential for collaborative software projects because they enable the organization and sharing of programming tasks between different
remote contributors. Here, we introduce the main features of GitHub, a popular webbased platform that offers a free and integrated environment for hosting the source code, documentation, and project-related web content for open-source projects. GitHub also offers paid plans for private repositories (see Box 1) for individuals and businesses as well as free plans
including private repositories for research and educational use.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Harvard University--MIT Division of Health Sciences and Technology
Harvard--MIT Program in Health Sciences and Technology. Laboratory for Computational Physiology
Terms of Use
Creative Commons Attribution 4.0 International License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1371/journal.pcbi.1004947
