The Method of a Gene Sequence Alignment BWT Index Based on Hadoop
International Journal of Genetics and Genomics
Volume 4, Issue 3, June 2016, Pages: 24-30
Received: Jul. 1, 2016; Published: Jul. 12, 2016
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Nan Li, College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
Jing Gao, College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
Bailong Feng, East Inner Mongolia Electric Power Company Limited, Hohhot, Inne
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Gene sequence alignment, used to recognize the homology and variability in different species, is an important part of Bioinformatics. Creating indexes is a crucial step of gene sequence alignment algorithm. Usual algorithms of creating indexes are divided into two types. The first is algorithm based on hash table, while another is based on suffix tree or suffix array, among which BWT (Burrows-Wheeler Transform) index is a significant index structure. Currently, BWT index needs several hours’ serial computing in building a large genome sequence (such as human genome sequence). A parallel computing method based on Hadoop is presented is this paper to build suffix array and BWT index. Map Reduce is adopted as a type of data processing function, cutting suffix array into block, which will be handled separately. Ultimately, totally ordered suffix array and BWT index are output, reducing the time in building index. Meanwhile, verifying the effectiveness of the algorithm by experiments.
Gene Sequence, BWT Index, Suffix Array, Hadoop
To cite this article
Nan Li, Jing Gao, Bailong Feng, The Method of a Gene Sequence Alignment BWT Index Based on Hadoop, International Journal of Genetics and Genomics. Vol. 4, No. 3, 2016, pp. 24-30. doi: 10.11648/j.ijgg.20160403.13
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