DocumentCode :
2379362
Title :
A re-sequencing tool for high mismatch-tolerant short read alignment based on Burrows-Wheeler Transform
Author :
Lu, Chen Hua ; Lin, Chun Yuan ; Tang, Chuan Yi
Author_Institution :
Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fYear :
2010
fDate :
18-18 Dec. 2010
Firstpage :
549
Lastpage :
554
Abstract :
After the reference genomes of many organisms are sequenced in this post-genetic era, it has become an extremely important issue that how to do the re-sequencing and assembly for individual genomes from very large amount of reads. In this paper, we will present a re-sequencing tool designed for the Next Generation Sequencing (NGS) data. And these data are composed of a huge amount of short reads which will be aligned onto a reference genome. We modified and implemented the algorithm of Burrows-Wheeler Transform and FM-index to build the genome index of human, and proposed an idea to segment each short read into multiple non-overlapping seeds, which let us align short reads with large Hamming distance. Finally, we used the simulated datasets and real datasets from 1000 Genome Project to demonstrate the performance of our tool on a personal computer, and compared the results with widely used tools, bowtie and SOAPv2.
Keywords :
DNA; bioinformatics; genomics; macromolecules; microcomputers; molecular biophysics; Burrows-Wheeler transform; SOAPv2; align short reads; bowtie; high mismatch-tolerant short read alignment; large Hamming distance; multiple nonoverlapping seeds; next generation sequencing data; organisms; personal computer; post-genetic era; reference genomes; resequencing tool; simulated datasets; Alignment; BWT; NGS; Resequence; Short Reads;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2010 IEEE International Conference on
Conference_Location :
Hong, Kong
Print_ISBN :
978-1-4244-8303-7
Electronic_ISBN :
978-1-4244-8304-4
Type :
conf
DOI :
10.1109/BIBMW.2010.5703860
Filename :
5703860
Link To Document :
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