Computing Workflows for Biologists: A Roadmap

Extremely large datasets have become routine in biology. However, performing a computational analysis of a large dataset can be overwhelming, especially for novices. Here, we present a step-by-step guide to computing workflows with the biologist end-user in mind. Starting from a foundation of sound...

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Detalles Bibliográficos
Autores principales: Shade, Ashley, Teal, Tracy K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4658184/
https://www.ncbi.nlm.nih.gov/pubmed/26600012
http://dx.doi.org/10.1371/journal.pbio.1002303
Descripción
Sumario:Extremely large datasets have become routine in biology. However, performing a computational analysis of a large dataset can be overwhelming, especially for novices. Here, we present a step-by-step guide to computing workflows with the biologist end-user in mind. Starting from a foundation of sound data management practices, we make specific recommendations on how to approach and perform computational analyses of large datasets, with a view to enabling sound, reproducible biological research.

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