DocumentCode
259310
Title
Parallelized Pattern Recognition Based DNA Sequence Compressor
Author
Arokiaraj, S. Panneer ; Robert, L.
Author_Institution
Comput. Sci., Periyar EVR Coll., Trichy, India
fYear
2014
fDate
Feb. 27 2014-March 1 2014
Firstpage
13
Lastpage
16
Abstract
DNA sequences contain hereditary information of all living organisms. The exploration of genomic research compulsorily involves such large sequences in high volumes and it requires voluminous storage. An initiative to reduce such storage is achieved through DNA data compression. The compression time is another influencing factor for compression algorithms and whose consumption must be reduced. This paper aims the same by proposing Parallelized Pattern Recognition based DNA Sequence Compression (PPRDNAC) algorithm that compresses the DNA sequences by identifying the appropriate patterns simultaneously with appreciable computation time.
Keywords
DNA; biology computing; data compression; genomics; DNA data compression; PPRDNAC; compression algorithms; computation time; genomic research; hereditary information; parallelized pattern recognition based DNA sequence compression algorithm; voluminous storage; Algorithm design and analysis; Bioinformatics; DNA; Data compression; Parallel processing; Pattern recognition; Program processors; Compression Ratio; Compression time; DNA Sequence Compression; Parallelism; Pattern Recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing and Communication Technologies (WCCCT), 2014 World Congress on
Conference_Location
Trichirappalli
Print_ISBN
978-1-4799-2876-7
Type
conf
DOI
10.1109/WCCCT.2014.33
Filename
6755096
Link To Document