Challenges and recommendations to improve the installability and archival stability of omics computational tools.

ABSTRACT: Developing new software tools for analysis of large-scale biological data is a key component of advancing modern biomedical research. Scientific reproduction of published findings requires running computational tools on data generated by such studies, yet little attention is presently allocated to the installability and archival stability of computational software tools. Scientific journals require data and code sharing, but none currently require authors to guarantee the continuing functionality of newly published tools. We have estimated the archival stability of computational biology software tools by performing an empirical analysis of the internet presence for 36,702 omics software resources published from 2005 to 2017. We found that almost 28% of all resources are currently not acces

SUBMITTER: Mangul S 

PROVIDER: S-EPMC6605654 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature