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Abstract
Large-scale genomic projects such as the Epichloë festucae Genome Project require regular use of bioinformatic tools. When using BLAST in conjunction with larger databases, processing complex sequences often uses substantial computation time. Parallelization is considered a standard method of curbing extensive computing requirements and parallel implementations of BLAST, such as mpiBLAST, are freely available.
Document Type
Presentation
Publication Date
7-23-2010
Document Object Identifier (DOI)
http://dx.doi.org/10.1186/1471-2105-11-S4-P9
Repository Citation
Harris, Daniel; Jaromczyk, Jerzy W.; and Schardl, Christopher L., "Experimenting with database segmentation size vs time performance for mpiBLAST on an IBM HS21 blade cluster" (2010). Computer Science Presentations. 2.
https://uknowledge.uky.edu/cs_present/2
Notes/Citation Information
Published in BMC Bioinformatics, v. 11 (Suppl. 4): P9.
© 2010 Jaromczyk et al; licensee BioMed Central Ltd.
From UT-ORNL-KBRIN Bioinformatics Summit 2010 (Cadiz, KY, USA: 19-21 March 2010).