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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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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 |
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. |
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