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» MEME: discovering and analyzing DNA and protein sequence mot...
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TCBB
2008
103views more  TCBB 2008»
13 years 5 months ago
DNA Motif Representation with Nucleotide Dependency
The problem of discovering novel motifs of binding sites is important to the understanding of gene regulatory networks. Motifs are generally represented by matrices (PWM or PSSM) o...
Francis Y. L. Chin, Henry C. M. Leung
IMSCCS
2006
IEEE
13 years 11 months ago
Identification of New Members of Hydrophobin Family Using Primary Structure Analysis
Background: Hydrophobins are fungal proteins that can turn into amphipathic membranes at hydrophilic/hydrophobic interfaces by self-assembly. The assemblages by Class I hydrophobi...
Kuan Yang, Youping Deng, Chaoyang Zhang, Mohamed O...
BIBM
2008
IEEE
170views Bioinformatics» more  BIBM 2008»
14 years 2 days 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
ALMOB
2006
138views more  ALMOB 2006»
13 years 5 months ago
A combinatorial optimization approach for diverse motif finding applications
Background: Discovering approximately repeated patterns, or motifs, in biological sequences is an important and widely-studied problem in computational molecular biology. Most fre...
Elena Zaslavsky, Mona Singh
EVOW
2004
Springer
13 years 9 months ago
Evolving Regular Expression-Based Sequence Classifiers for Protein Nuclear Localisation
A number of bioinformatics tools use regular expression (RE) matching to locate protein or DNA sequence motifs that have been discovered by researchers in the laboratory. For exam...
Amine Heddad, Markus Brameier, Robert M. MacCallum