Next Article in Journal
Skills and Vacancy Analysis with Data Mining Techniques
Previous Article in Journal
Human–Information Interaction with Complex Information for Decision-Making
Article Menu

Export Article

Open AccessArticle
Informatics 2015, 2(3), 20-30; doi:10.3390/informatics2030020

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

1
RENaissance Computing Institute (RENCI), University of North Carolina at Chapel Hill, 100 Europa Drive, Suite 540, Chapel Hill, NC 27517, USA
2
Department of Computer Science, University of North Carolina at Chapel Hill, 201 South Columbia Street, Chapel Hill, NC, 27599-3175, USA
3
Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, 120 Mason Farm Road, 5000D Genetic Medicine Building, Chapel Hill, NC 27599-7264, USA
4
Department of Neurology, School of Medicine, University of North Carolina at Chapel Hill, Physicians Office Building, 170 Manning Drive, Chapel Hill, NC 27599, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Antony Bryant
Received: 13 May 2015 / Revised: 23 June 2015 / Accepted: 3 July 2015 / Published: 16 July 2015
View Full-Text   |   Download PDF [1121 KB, uploaded 16 July 2015]   |  

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. View Full-Text
Keywords: service-oriented architecture; genomics; massively parallel sequencing; computational workflow; academic biomedical research; decentralized organization; distributed decision-making service-oriented architecture; genomics; massively parallel sequencing; computational workflow; academic biomedical research; decentralized organization; distributed decision-making
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Reilly, J.; Ahalt, S.; McGee, J.; Owen, P.; Schmitt, C.; Wilhelmsen, K. MaPSeq, A Service-Oriented Architecture for Genomics Research within an Academic Biomedical Research Institution. Informatics 2015, 2, 20-30.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Informatics EISSN 2227-9709 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top