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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Bibliographic Details
Published in:PLoS biology 2015-11, Vol.13 (11), p.e1002303-e1002303
Main Authors: Shade, Ashley, Teal, Tracy K
Format: Article
Language:English
Subjects:
Animals
Bioinformatics
Biologists
Biology
Biology - manpower
Biology - trends
Computational Biology - methods
Computational Biology - trends
Computer programs
Computing Methodologies
Data analysis
Database Management Systems - trends
Datasets
Datasets as Topic - trends
Guidelines as Topic
Humans
Metadata
Reproducibility of Results
Science
Software
Studies
Technology application
Terminology as Topic
Workflow
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Description
Summary: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.
ISSN:1545-7885
1544-9173
1545-7885
DOI:10.1371/journal.pbio.1002303