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2012 | OriginalPaper | Chapter
Enabling Data and Compute Intensive Workflows in Bioinformatics
Authors : Gaurang Mehta, Ewa Deelman, James A. Knowles, Ting Chen, Ying Wang, Jens Vöckler, Steven Buyske, Tara Matise
Published in: Euro-Par 2011: Parallel Processing Workshops
Publisher: Springer Berlin Heidelberg
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Accelerated growth in the field of bioinformatics has resulted in large data sets being produced and analyzed. With this rapid growth has come the need to analyze these data in a quick, easy, scalable, and reliable manner on a variety of computing infrastructures including desktops, clusters, grids and clouds. This paper presents the application of workflow technologies, and, specifically, Pegasus WMS, a robust scientific workflow management system, to a variety of bioinformatics projects from RNA sequencing, proteomics, and data quality control in population studies using GWAS data.