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	SCHEDULE: NOV 11-17, 2006 Parallel Genomic Sequence-Searching on an Ad-Hoc Grid: Experiences, Lessons Learned, and Implications Session: Grid Applications Event Type: Paper, Best Paper Finalist Time: 1:30pm - 2:00pm Session Chair: Thilo Kielmann Author(s): Mark Gardner, Wu-chun Feng, Jeremy Archuleta, Heshan Lin, Xiaosong Ma Location: 20-21 Abstract: The Basic Local Alignment Search Tool (BLAST) allows bioinformaticists to characterize an unknown sequence by comparing it against a database of known sequences. The similarity between sequences enables biologists to detect evolutionary relationships and infer biological properties of the unknown sequence. mpiBLAST, our parallel BLAST, decreases the search time of a 300-kB query from two full days to under 10 minutes on a 128-processor cluster and allows larger query files to be compared. Consequently, we propose to compare the largest query available, the NT database, against the largest database available, the NT database. The end result will provide critical information to biologists, including evolutionary, structural, and functional relationships between every sequence and family in the NT database. However, because of the time complexity to accomplish the above task, we run mpiBLAST on GreenGene, an ad-hoc grid that was constructed from donated computational, network, and storage resources during SC2005. Awards:Best Paper Nomination This paper can be found in the ACM and IEEE Digital Libaries Click here for ACM Click here for IEEE Chair/ Author Details: Thilo Kielmann (Chair) Vrije Universiteit Mark Gardner Virginia Tech Wu-chun Feng Virginia Tech Jeremy Archuleta University of Utah Heshan Lin North Carolina State University Xiaosong Ma North Carolina State University
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