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» BayesMD: Flexible Biological Modeling for Motif Discovery
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JCB
2008
159views more  JCB 2008»
13 years 4 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther
ICDE
2010
IEEE
750views Database» more  ICDE 2010»
13 years 9 months ago
Efficient and accurate discovery of patterns in sequence datasets
Existing sequence mining algorithms mostly focus on mining for subsequences. However, a large class of applications, such as biological DNA and protein motif mining, require effici...
Avrilia Floratou, Sandeep Tata, Jignesh M. Patel
RECOMB
2005
Springer
14 years 4 months ago
Motif Discovery Through Predictive Modeling of Gene Regulation
Manuel Middendorf, Anshul Kundaje, Mihir Shah, Yoa...
ALMOB
2006
138views more  ALMOB 2006»
13 years 4 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
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