DocumentCode
917766
Title
Single nucleotide polymorphism data analysis - State-of-the-art review on this emerging field from a signal processing viewpoint
Author
Su, Shih-Chieh ; Kuo, C. -C Jay ; Chen, Ting
Author_Institution
Southern California Univ., CA
Volume
24
Issue
1
fYear
2007
Firstpage
75
Lastpage
82
Abstract
The basic structural units of the genome are nucleotides. A single nucleotide polymorphism (SNP) is a mutation at a single nucleotide position. This paper discusses several major problems in SNP data analysis and review some existing solutions in this work. Generally speaking, a rich set of SNP analysis problems are cast in the signal processing framework. Our objective is to offer a state-of-the art review on this topic from a signal processing viewpoint so that researchers in the signal processing field can grasp the important domain knowledge to overcome the barrier between the two fields
Keywords
genetic engineering; genetics; medical signal processing; signal processing; single nucleotide polymorphism data analysis; Bioinformatics; Biological cells; Biomedical signal processing; DNA; Data analysis; Diseases; Genomics; Humans; Sequences; Signal processing;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2007.273060
Filename
4049915
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