Challenges and recommendations to improve the installability and archival stability of omics computational tools
Developing new software tools for analysis of large-scale biological data involves numerous unique challenges; this Perspective article surveys more than 36,000 software resources, concluding that a rigorous standardized approach is needed to ensure the installability and archival stability of software tools prior to their publication.
Challenges and recommendations to improve the installability and archival stability of omics computational tools | PLOS Biology Article Authors Metrics Comments Media Coverage Reader Comments Figures Figures 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. Scientifi
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