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SciApps: a cloud-based platform for reproducible bioinformatics workflows

MOTIVATION: The rapid accumulation of both sequence and phenotype data generated by high-throughput methods has increased the need to store and analyze data on distributed storage and computing systems. Efficient data management across these heterogeneous systems requires a workflow management syste...

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Detalles Bibliográficos
Autores principales: Wang, Liya, Lu, Zhenyuan, Van Buren, Peter, Ware, Doreen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223375/
https://www.ncbi.nlm.nih.gov/pubmed/29897418
http://dx.doi.org/10.1093/bioinformatics/bty439
Descripción
Sumario:MOTIVATION: The rapid accumulation of both sequence and phenotype data generated by high-throughput methods has increased the need to store and analyze data on distributed storage and computing systems. Efficient data management across these heterogeneous systems requires a workflow management system to simplify the task of analysis through automation and make large-scale bioinformatics analyses accessible and reproducible. RESULTS: We developed SciApps, a web-based platform for reproducible bioinformatics workflows. The platform is designed to automate the execution of modular Agave apps and support execution of workflows on local clusters or in a cloud. Two workflows, one for association and one for annotation, are provided as exemplar scientific use cases. AVAILABILITY AND IMPLEMENTATION: https://www.sciapps.org SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.