DocumentCode
1125055
Title
Detecting Localized Interspersed Motifs in Genomic Sequences
Author
Jin, Victor X. ; Turcotte, Marcel
Author_Institution
California UNiv., Davis
Volume
56
Issue
5
fYear
2007
Firstpage
1770
Lastpage
1775
Abstract
Repeated sequences account for a significant fraction of Eukaryotic genomes - nearly half of the human genome consists of repeated-sequence elements. Several elements have been linked to diseases. Consequently, identifying and characterizing repeated elements is essential for understanding diseases at the molecular level. Repeated sequences vary from one genome to another and are, therefore, difficult to identify using sequence-comparison methods alone. Certain gene families, such as the interferon gene family or the natural killer-gene complex, have been found to be clustered together in the genome. Several observations have lead to the hypothesis that specific sequence repeats could play an important role in generating multi gene families. Here, we define the concept of localized interspersed motifs and present a computational approach for detecting them.
Keywords
biology computing; genetics; statistical analysis; Eukaryotic genomes; genomic sequences; human genome; interferon gene family; localized interspersed motifs; multigene families; natural killer-gene complex; repeated sequences; sequence-comparison methods; Bioinformatics; Clustering algorithms; Diseases; Evolution (biology); Genomics; Humans; Phylogeny; Proteins; Sequences; Whales; Bioinformatics; clustering; genomes; sequence analysis; sequence repeats; statistical modeling;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/TIM.2007.903606
Filename
4303412
Link To Document