Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Shade, Ashley, Teal, Tracy K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
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
_version_ 1782402495100747776
author Shade, Ashley
Teal, Tracy K.
author_facet Shade, Ashley
Teal, Tracy K.
author_sort Shade, Ashley
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4658184
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-46581842015-12-02 Computing Workflows for Biologists: A Roadmap Shade, Ashley Teal, Tracy K. PLoS Biol Community Page 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. Public Library of Science 2015-11-24 /pmc/articles/PMC4658184/ /pubmed/26600012 http://dx.doi.org/10.1371/journal.pbio.1002303 Text en © 2015 Shade, Teal http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Community Page
Shade, Ashley
Teal, Tracy K.
Computing Workflows for Biologists: A Roadmap
title Computing Workflows for Biologists: A Roadmap
title_full Computing Workflows for Biologists: A Roadmap
title_fullStr Computing Workflows for Biologists: A Roadmap
title_full_unstemmed Computing Workflows for Biologists: A Roadmap
title_short Computing Workflows for Biologists: A Roadmap
title_sort computing workflows for biologists: a roadmap
topic Community Page
url 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
work_keys_str_mv AT shadeashley computingworkflowsforbiologistsaroadmap
AT tealtracyk computingworkflowsforbiologistsaroadmap