SciApps: a cloud-based platform for reproducible bioinformatics workflows

Bioinformatics. 2018 Nov 15;34(22):3917-3920. doi: 10.1093/bioinformatics/bty439.

Abstract

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.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Cloud Computing
  • Computational Biology*
  • Software
  • Workflow*