Streamlining data-intensive biology with workflow systems

As the scale of biological data generation has increased, the bottleneck of research has shifted from data generation to analysis. Researchers commonly need to build computational workflows that include multiple analytic tools and require incremental development as experimental insights demand tool...

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Detalles Bibliográficos
Autores principales: Reiter, Taylor, Brooks†, Phillip T, Irber†, Luiz, Joslin†, Shannon E K, Reid†, Charles M, Scott†, Camille, Brown, C Titus, Pierce-Ward, N Tessa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8631065/
https://www.ncbi.nlm.nih.gov/pubmed/33438730
http://dx.doi.org/10.1093/gigascience/giaa140

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8631065/
https://www.ncbi.nlm.nih.gov/pubmed/33438730
http://dx.doi.org/10.1093/gigascience/giaa140

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