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