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» Algorithms for Challenging Motif Problems
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BIBM
2008
IEEE
170views Bioinformatics» more  BIBM 2008»
14 years 2 months ago
Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan
BMCBI
2006
113views more  BMCBI 2006»
13 years 8 months ago
GibbsST: a Gibbs sampling method for motif discovery with enhanced resistance to local optima
Background: Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sa...
Kazuhito Shida
CIAC
2010
Springer
194views Algorithms» more  CIAC 2010»
14 years 24 days ago
An Algorithmic Framework for Motif Discovery Problems in Weighted Sequences
A weighted sequence is a string in which a set of characters may appear at each position with respective probabilities of occurrence. A common task is to locate a given motif in a ...
Hui Zhang, Qing Guo, Costas S. Iliopoulos
CORR
2010
Springer
85views Education» more  CORR 2010»
13 years 8 months ago
The Motif Tracking Algorithm
: The search for patterns or motifs in data represents a problem area of key interest to finance and economic researchers. In this paper we introduce the Motif Tracking Algorithm, ...
William O. Wilson, Phil Birkin, Uwe Aickelin
BMCBI
2006
112views more  BMCBI 2006»
13 years 8 months ago
A correlated motif approach for finding short linear motifs from protein interaction networks
Background: An important class of interaction switches for biological circuits and disease pathways are short binding motifs. However, the biological experiments to find these bin...
Soon-Heng Tan, Hugo Willy, Wing-Kin Sung, See-Kion...