20Jan 2017
ACCELERATION OF DISTANCE COMPUTATION FOR MULTIPLE SEQUENCE ALIGNMENT ON MULTI-CORE ARCHITECTURES.
- Education College for Girls, University of Mosul, Mosul, IRAQ.
- Department of Computer Science, University of Cihan/Sulaimanya, Kurdstan, Iraq.
- Abstract
- References
- Cite This Article as
- Corresponding Author
Although high quality multiple sequence alignment is an essential task in bioinformatics, it becomes a big dilemma nowadays due to the gigantic explosion in the amount of molecular data. The most consuming time and space phase is the distance matrix computation. This paper addresses this issue by proposing a vectorized parallel method that accomplishes the huge number of similarity comparisons faster in linear space.
- Albert Y. Zomaya, Parallel computing for bioinformatics and computational biology: models, enabling technologies, and case studies, John Wiley & Sons Inc., 2006.
- Dunn, A. Hejnol, DQ. Matus, K. Pang, WE. Browne, et al., Broad phylogenomic sampling improves resolution of the animal tree of life, Nature, vol. 452, , 2008 pp. 745–749.
- Bao, P. Bolotov, D. Dernovoy, B. Kiryutin, L. Zaslavsky, et al., The influenza virus resource at the National Center for Biotechnology Information, J. Virol., vol. 82, 2008, pp. 596–601.
- Kuipers, HJ. Joosten, WJ. van Berkel, NG. Leferink, E. Rooijen, et al., 3DM: systematic analysis of heterogeneous superfamily data to discover protein functionalities, Proteins, vol. 78, 2010, pp. 2101–2113.
- Singh, R. Tokhunts, V. Baubet, JA. Goetz, ZJ. Huang, et al., Sonic hedgehog mutations identified in holoprosencephaly patients can act in a dominant negative manner, Hum. Genet., vol. 125, 2009, pp. 95–103.
- D. Thompson, D.G. Higgins, and T.J. Gibson, CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, positions-speci?c gap penalties and weight matrix choice, Nucleic Acids Res., vol. 22, No. 22, 1994, pp. 4673– 4680.
- Notredame, D.G. Higgins, J. Heringa, T- Coffee: a novel method for fast and accurate multiple sequence alignment, J. Mol. Biol., vol. 302, No. 1, 2000, pp. 205–17.
- Katoh, K. Misawa, K. Kuma, and T. Miyata, MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform, Nucleic Acids Res., vol. 30, No. 14, 2002, pp. 3059-3066.
- Morgenstern, K. Frech, A. Dress and T. Werner, DIALIGN: Finding Local Similarities by Multiple Sequence Alignment, Bioinformatics, vol. 14, 1998, pp. 290-294.
- Feng, R. Doolittle, Progressive sequence alignment as a prerequisite to correct phylogenetic trees, J. Mol. Evol., vol. 25, 1987, pp. 351–360.
- Saitou N, Nei M, The neighbor-joining method: a new method for reconstructing phylogenetic trees, Mol. Biol. Evol., vol. 4, pp. 406-425, 1987.
- Jan Urban., Interfacing C++ libraries to Matlab, MSc. Thesis, Universitas Masarykiana,
- Xiaozhong Geng, A Task Scheduling Algorithm for Multi-Core Cluster Systems, JCP, 7, No. 11, 2012, pp. 2797-2804.
- Kridsadakorn Chaichoompu and Surin Kittitornkun, Multithreaded ClustalW with improved optimization for Intel multi-core processor, ISCIT '06, 2006, pp. 590-594.
- Hans Vandierendonck, Sean Rul, Michiel Questier et al., Experiences with parallelizing a bio-informatics program on the cell BE, HiPEAC’08, vol. 4917, 2008, pp. 161–175.
- Hans Vandierendonck, Sean Rul, and Koen De Bosschere, Accelerating multiple sequence alignment with the Cell BE processor, Comput. , vol. 53, No. 6, 2010, pp. 814–826.
- Di Tommaso, M. Orobitg, F. Guirado, F. Cores, T. Espinosa, C. Notredame, Cloud- Coffee: implementation of a parallel consistency-based multiple alignment algorithm in the T-Coffee package and its benchmarking on the Amazon Elastic-Cloud, Bioinformatics, vol. 26, No. 15, 2010, pp. 1903-1904.
- Katoh, and H. Toh, Parallelization of the MAFFT multiple sequence alignment program, Bioinformatics, vol. 26, No. 15, 2010, pp. 1899- 1900.
- de Araujo Macedo, A.C. Magalhaes Alves de Melo, G.H. Pfitscher, A. Boukerche, Hybrid MPI/OpenMP Strategy for Biological Multiple Sequence Alignment with DIALIGN-TX in Heterogeneous Multicore Clusters, IPDPSW’11, IEEE Xplore Press, 2011, pp. 418- 425.
- Yongchao Liu, Bertil Schmidt, Douglas L. Maskell, MSAProbs: multiple sequence alignment based on pair hidden Markov models and partition function posterior probabilities, Bioinformatics, vol. 26, No. 16, 2010, pp. 1958 -196.
- Deng and J. Cheng, MSACompro: Protein Multiple Sequence Alignment Using Predicted Secondary Structure, Solvent Accessibility, and Residue-Residue Contacts, BMC Bioinformatics, vol. 12, 2011, pp. 472-488.
- Zhi Ying, Xinhua Lin, Simon Chong-Wee and Minglu Li, GPU-Accelerated DNA Distance Matrix Computation, ChinaGrid’11, 2011, pp. 42-47.
- Balaji Venkatachalam, Parallelizing the Smith-Waterman Local Alignment Algorithm using CUDA, 2012, http://www.zl50.com/ html.
- F. Smith, M.S. Waterman, Identification of common molecular subsequences, J. Mol. Biol., vol. 147, 1981, pp. 195-197.
[Mohammed W. Al-Neama and Kasim A. Al-Salem. (2017); ACCELERATION OF DISTANCE COMPUTATION FOR MULTIPLE SEQUENCE ALIGNMENT ON MULTI-CORE ARCHITECTURES. Int. J. of Adv. Res. 5 (Jan). 1239-1245] (ISSN 2320-5407). www.journalijar.com
Mohammed W. A-Neama
Education College for Girls, Mosul University, Mosul, IRAQ.
Education College for Girls, Mosul University, Mosul, IRAQ.