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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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 |
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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 |
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