MaPSeq, A Service-Oriented Architecture for Genomics Research within an Academic Biomedical Research Institution

Abstract

Genomics research presents technical, computational, and analytical challenges that are well recognized. Less recognized are the complex sociological, psychological, cultural, and political challenges that arise when genomics research takes place within a large, decentralized academic institution. In this paper, we describe a Service-Oriented Architecture (SOA)—MaPSeq—that was conceptualized and designed to meet the diverse and evolving computational workflow needs of genomics researchers at our large, hospital-affiliated, academic research institution. We present the institutional challenges that motivated the design of MaPSeq before describing the architecture and functionality of MaPSeq. We then discuss SOA solutions and conclude that approaches such as MaPSeq enable efficient and effective computational workflow execution for genomics research and for any type of academic biomedical research that requires complex, computationally-intense workflows.

Keywords

• service-oriented architecture
• genomics
• massively parallel sequencing
• computational workflow
• academic biomedical research
• decentralized organization
• distributed decision-making