Title
DNA sequence compression - Based on the normalized maximum likelihood model
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
Year
DOI
Venue
2007
10.1109/MSP.2007.273055
Signal Processing Magazine, IEEE
Keywords
DocType
Volume
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
Journal
24
Issue
ISSN
Citations 
1
1053-5888
20
PageRank 
References 
Authors
0.83
12
4
Name
Order
Citations
PageRank
Korodi, G.1200.83
I. Tabus28710.32
Jorma Rissanen31665798.14
Jaakko Astola41515230.41