Rapid Assessment of Extremal Statistics for Gapped Local Alignment
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
ICIT '08 Proceedings of the 2008 International Conference on Information Technology
Bioinformatics
ISBRA'08 Proceedings of the 4th international conference on Bioinformatics research and applications
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Derived distribution points heuristic for fast pairwise statistical significance estimation
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
C2FPGA-A dependency-timing graph design methodology
Journal of Parallel and Distributed Computing
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Sequence comparison is considered as a cornerstone application in bioinformatics, which forms the basis of many other applications. In particular, pairwise sequence alignment is a fundamental step in numerous sequence comparison based applications, where the typical purpose of pairwise sequence alignment step is homology detection, i.e., identifying related sequences. Estimation of statistical significance of a pairwise sequence alignment is crucial in homology detection. A recent development in the field is the use of pairwise statistical significance as an alternative to database statistical significance. Although pairwise statistical significance has been shown to be potentially superior than database statistical significance for homology detection (evaluated in terms of retrieval accuracy), currently it is much time consuming since it involves generating an empirical score distribution by aligning one sequence of the sequence-pair with N random shuffles of the other sequence. In this paper, we present a parallel algorithm for pairwise statistical significance estimation, called MPIPairwiseStatSig, implemented in C using MPI. Distributing the most compute-intensive portions of the pairwise statistical significance estimation procedure across multiple processors has been shown to result in near-linear speed-ups for the application.