CGAT-core: a python framework for building scalable, reproducible computational biology workflows [v...
CGAT-core: a python framework for building scalable, reproducible computational biology workflows [version 2; peer review: 1 approved, 1 approved with reservations]
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English
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In the genomics era computational biologists regularly need to process, analyse and integrate large and complex biomedical datasets. Analysis inevitably involves multiple dependent steps, resulting in complex pipelines or workflows, often with several branches. Large data volumes mean that processing needs to be quick and efficient and scientific r...
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CGAT-core: a python framework for building scalable, reproducible computational biology workflows [version 2; peer review: 1 approved, 1 approved with reservations]
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TN_cdi_crossref_primary_10_12688_f1000research_18674_2
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_12688_f1000research_18674_2
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ISSN
2046-1402
E-ISSN
2046-1402
DOI
10.12688/f1000research.18674.2
