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» MDGA: motif discovery using a genetic algorithm
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GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
13 years 10 months ago
MDGA: motif discovery using a genetic algorithm
Computationally identifying transcription factor binding sites in the promoter regions of genes is an important problem in computational biology and has been under intensive resea...
Dongsheng Che, Yinglei Song, Khaled Rasheed
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 8 months ago
Identification of weak motifs in multiple biological sequences using genetic algorithm
Recognition of motifs in multiple unaligned sequences provides an insight into protein structure and function. The task of discovering these motifs is very challenging because mos...
Topon Kumar Paul, Hitoshi Iba
TSP
2008
91views more  TSP 2008»
13 years 4 months ago
A Sequential Monte Carlo Method for Motif Discovery
We propose a sequential Monte Carlo (SMC)-based motif discovery algorithm that can efficiently detect motifs in datasets containing a large number of sequences. The statistical di...
Kuo-ching Liang, Xiaodong Wang, Dimitris Anastassi...
IJCSS
2000
92views more  IJCSS 2000»
13 years 4 months ago
Genetic algorithms and extraction of rules for detection of short DNA motifs
The paper presents a method for discovery of speci
P. Y. Tabakov, Vladimir B. Bajic
BMCBI
2007
190views more  BMCBI 2007»
13 years 4 months ago
Discriminative motif discovery in DNA and protein sequences using the DEME algorithm
Background: Motif discovery aims to detect short, highly conserved patterns in a collection of unaligned DNA or protein sequences. Discriminative motif finding algorithms aim to i...
Emma Redhead, Timothy L. Bailey