DocumentCode
2369833
Title
Identification of structured motifs
Author
Sheng, Huitao ; Mehrotra, Kishan ; Mohan, Chilukuri ; Raina, Ramesh
Author_Institution
Dept. of Electr. Eng.&Comput. Sci., Syracuse Univ., Syracuse, NY, USA
fYear
2009
fDate
1-4 Nov. 2009
Firstpage
249
Lastpage
253
Abstract
Structured motifs consist of two simpler patterns (half-sites) separated from each other by a gap, with no restriction on the nucleotides that may occur within the gap. This paper proposes a new algorithm to identify structured motifs. First, a simpler motif searching algorithm is used to search for half-sites. Candidate structured motif models are then evaluated, based on the relative frequency of occurrence of half-sites (not attributable to randomness), and the distribution of gap length. Unlike other recent structured motif detection algorithms, the new algorithm does not require the gap length to be prespecified.
Keywords
biology computing; cellular biophysics; genetics; gap length; half-sites; motif searching algorithm; nucleotides; structured motifs; Algorithm design and analysis; Biology; Computer science; DNA; Detection algorithms; Frequency; Gene expression; Organisms; Random sequences; Stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine Workshop, 2009. BIBMW 2009. IEEE International Conference on
Conference_Location
Washington, DC
Print_ISBN
978-1-4244-5121-0
Type
conf
DOI
10.1109/BIBMW.2009.5332103
Filename
5332103
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