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» Mining Protein Sequences for Motifs
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EVOW
2004
Springer
15 years 1 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
TCBB
2010
98views more  TCBB 2010»
14 years 4 months ago
VARUN: Discovering Extensible Motifs under Saturation Constraints
Abstract-The discovery of motifs in biosequences is frequently torn between the rigidity of the model on the one hand and the abundance of candidates on the other. In particular, m...
Alberto Apostolico, Matteo Comin, Laxmi Parida
JCB
1998
84views more  JCB 1998»
14 years 9 months ago
Methods and Statistics for Combining Motif Match Scores
Position-speci c scoring matrices are useful for representing and searching for protein sequence motifs. A sequence family can often be described by a group of one or more motifs,...
Timothy L. Bailey, Michael Gribskov
BMCBI
2010
129views more  BMCBI 2010»
14 years 9 months ago
The LabelHash Algorithm for Substructure Matching
Background: There is an increasing number of proteins with known structure but unknown function. Determining their function would have a significant impact on understanding diseas...
Mark Moll, Drew H. Bryant, Lydia E. Kavraki
69
Voted
PSB
2004
14 years 11 months ago
Motif Discovery in Heterogeneous Sequence Data
This paper introduces the first integrated algorithm designed to discover novel motifs in heterogeneous sequence data, which is comprised of coregulated genes from a single genome...
Amol Prakash, Mathieu Blanchette, Saurabh Sinha, M...