Abstract
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. © 2012 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Mehta, G., Deelman, E., Knowles, J. A., Chen, T., Wang, Y., Vöckler, J., … Matise, T. (2012). Enabling data and compute intensive workflows in bioinformatics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7156 LNCS, pp. 23–32). Springer Verlag. https://doi.org/10.1007/978-3-642-29740-3_4
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