DocumentCode :
917737
Title :
DNA sequence compression - Based on the normalized maximum likelihood model
Author :
Korodi, Gergely ; Tabus, Ioan ; Rissanen, Jorma ; Astola, Jaakko
Author_Institution :
Inst. of Signal Process., Tampere Univ. of Technol.
Volume :
24
Issue :
1
fYear :
2007
Firstpage :
47
Lastpage :
53
Abstract :
Genomic data provide challenging problems that have been studied in a number of fields such as statistics, signal processing, information theory, and computer science. This article shows that the methodologies and tools that have been recently developed in these fields for modeling signals and processes appear to be most promising for genomic research
Keywords :
DNA; biological techniques; biology computing; genetic engineering; information theory; signal processing; DNA sequence compression; computer science; genomic data; genomic research; information theory; signal modeling; signal processing; Bioinformatics; Biological information theory; Biomedical signal processing; DNA; Encoding; Genomics; Organisms; Proteins; Sequences; Signal processing;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2007.273055
Filename :
4049912
Link To Document :
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