DocumentCode :
2083633
Title :
Pattern Recognition based DNA Sequence Compressor
Author :
Arokiaraj, S. Panneer ; Robert, L.
Author_Institution :
Comput. Sci., Periyar EVR Coll., Trichy, India
fYear :
2012
fDate :
18-20 Dec. 2012
Firstpage :
1
Lastpage :
5
Abstract :
The genome of all living organisms contains all hereditary information encoded in DNA. Due to the ever increasing demand on DNA based technological developments, a larger number of DNA sequences have been identified and stored in genomic databases. The sizes of the databases are expected to increase exponentially. Compression is hence desirable to reduce the storage requirements as well as the transmission time. This paper aims the same by proposing Pattern Recognition based DNA Sequence Compression (PRDNAC) algorithm that compresses the DNA sequences by identifying the appropriate patterns to achieve a good compression ratio and compression gain much better than many standard compressors including RARLabs´ WinRAR version 4.x.
Keywords :
biology computing; data compression; database management systems; genomics; molecular biophysics; pattern recognition; PRDNAC algorithm; WinRAR compressor; compression gain; compression ratio; data compression; genomic database; pattern recognition based DNA sequence compressor; Bit Pattern; Compression Ratio; Compression gain; DNA Sequence Compression; PRDNAC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence & Computing Research (ICCIC), 2012 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4673-1342-1
Type :
conf
DOI :
10.1109/ICCIC.2012.6510211
Filename :
6510211
Link To Document :
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