A large-scale analysis of bioinformatics code on GitHub
Publishing date: 2018-12-10
Published on: PLOS ONE
summary: In recent years, the explosion of genomic data and bioinformatic tools has been accompanied by a growing conversation around reproducibility of results and usability of software. Here, Russell et al investigate the state of source code in the bioinformatics community, specifically looking at relationships between code properties, development activity, developer communities, and software impact.
authors: Pamela H. Russell, Rachel L. Johnson, Shreyas Ananthan, Benjamin Harnke, Nichole E. Carlson
link to paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0205898
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