Literature DB >> 14764554

Multiple sequence alignment in parallel on a workstation cluster.

Justin Ebedes1, Amitava Datta.   

Abstract

SUMMARY: Multiple sequence alignment is the NP-hard problem of aligning three or more DNA or amino acid sequences in an optimal way so as to match as many characters as possible from the set of sequences. The popular sequence alignment program ClustalW uses the classical method of approximating a sequence alignment, by first computing a distance matrix and then constructing a guide tree to show the evolutionary relationship of the sequences. We show that parallelizing the ClustalW algorithm can result in significant speedup. We used a cluster of workstations using C and message passing interface for our implementation. Experimental results show that speedup of over 5.5 on six processors is obtainable for most inputs. AVAILABILITY: The software is available upon request from the second author.

Mesh:

Year:  2004        PMID: 14764554     DOI: 10.1093/bioinformatics/bth055

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

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6.  Comparative analysis of eubacterial DNA polymerase III alpha subunits.

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7.  Parallel algorithms for large-scale biological sequence alignment on Xeon-Phi based clusters.

Authors:  Haidong Lan; Yuandong Chan; Kai Xu; Bertil Schmidt; Shaoliang Peng; Weiguo Liu
Journal:  BMC Bioinformatics       Date:  2016-07-19       Impact factor: 3.169

8.  HAlign-II: efficient ultra-large multiple sequence alignment and phylogenetic tree reconstruction with distributed and parallel computing.

Authors:  Shixiang Wan; Quan Zou
Journal:  Algorithms Mol Biol       Date:  2017-09-29       Impact factor: 1.405

  8 in total

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