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 :
بازگشت