DocumentCode
2677663
Title
Performance Comparison of MPI-Based Parallel Multiple Sequence Alignment Algorithm Using Single and Multiple Guide Trees
Author
Rezaei, Siamak ; Monwar, Md Maruf ; Bai, Joanne
Author_Institution
Dept. of Comput. Sci., Northern British Columbia Univ., Prince George, BC
Volume
1
fYear
2006
fDate
17-19 July 2006
Firstpage
595
Lastpage
600
Abstract
Multiple alignment of biological sequences is an interesting area of research for application of parallel processing algorithms. For multiple alignment of sequences, parallelism can be introduced at different levels to reduce the overall time. This paper is concerned with the comparison of an MPI-based multiple sequence alignment algorithm by using single and multiple guide trees. In this work, we will look at the application of divide-and-conquer algorithm for multiple sequence alignment and discuss two different implementations on MPI. We compare the speed up of the two approaches and we contrast the quality of the alignments for these two approaches. These two approaches differ in using one single tree for alignment vs. multiple trees for alignment that we further discuss in this paper
Keywords
biology computing; genetics; message passing; software performance evaluation; trees (mathematics); MPI-based parallel multiple sequence alignment; biological sequences; divide-and-conquer algorithm; multiple guide trees; parallel processing; performance comparison; single guide trees; Application software; Bioinformatics; Biological cells; Biology; Computer science; Genomics; Iterative algorithms; Parallel processing; Proteins; Sequences; Alignment quality; Divide-and-Conquer technique; Guide tree; Multiple Sequence Alignment;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
1-4244-0475-4
Type
conf
DOI
10.1109/COGINF.2006.365552
Filename
4216469
Link To Document