DocumentCode
3209666
Title
Fast CPU-based DNA exact sequence aligner
Author
Arbabi, Aryan ; Gholami, Milad ; Varmazyar, Mojtaba ; Daneshpajouh, Shervin
Author_Institution
Sch. of Comput. Sci., Inst. for Res. in Fundamental Sci. (IPM), Tehran, Iran
fYear
2012
fDate
16-17 July 2012
Firstpage
95
Lastpage
98
Abstract
Fast alignment of small sequences to a very large sequence has recently been under attention of many researchers, due to the applications in processing the biological sequences and specially mapping the short reads of Next Generation Sequencing to an already assembled reference genome. The MEMOCODE 2012 contest was aimed to design a very efficient exact DNA sequence matching method to map a huge number of short subsequences of the human genome and to optimize the performance of design: the running time and the cost of the required hardware platform. We designed and implemented two separate solutions, one based on Burrows Wheeler Transform (BWT) with some optimizations to the algorithm that improve its speed significantly, the other one which won the normalized section of the contest uses a hash indexing method.
Keywords
DNA; bioinformatics; data compression; file organisation; genomics; indexing; sequences; BWT; Burrows Wheeler transform; CPU-based DNA exact sequence aligner; DNA sequence matching method; MEMOCODE 2012 contest; biological sequences; hash indexing method; human genome; next generation sequencing; reference genome; small sequence alignment; very large sequence; Bioinformatics; DNA; Genomics; Humans; Memory management; Optimization; Random access memory;
fLanguage
English
Publisher
ieee
Conference_Titel
Formal Methods and Models for Codesign (MEMOCODE), 2012 10th IEEE/ACM International Conference on
Conference_Location
Arlington, VA
Print_ISBN
978-1-4673-1314-8
Type
conf
DOI
10.1109/MEMCOD.2012.6292305
Filename
6292305
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