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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...
CPM
2007
Springer
222views Combinatorics» more  CPM 2007»
13 years 11 months ago
Computing Exact p-Value for Structured Motif
Extracting motifs from a set of DNA sequences is important in computational biology. Occurrence probability is a common used statistics to evaluate the statistical significance of...
Jing Zhang, Xi Chen, Ming Li
BMCBI
2007
125views more  BMCBI 2007»
13 years 5 months ago
Statistical tests to compare motif count exceptionalities
Background: Finding over- or under-represented motifs in biological sequences is now a common task in genomics. Thanks to p-value calculation for motif counts, exceptional motifs ...
Stéphane Robin, Sophie Schbath, Vincent Van...
SAC
2004
ACM
13 years 10 months ago
Guiding motif discovery by iterative pattern refinement
In this paper, we demonstrate that the performance of a motif discovery algorithm can be significantly improved by embedding it into a novel framework that effectively guides the ...
Zhiping Wang, Mehmet M. Dalkilic, Sun Kim
BMCBI
2011
12 years 8 months ago
Dissecting protein loops with a statistical scalpel suggests a functional implication of some structural motifs
Background: One of the strategies for protein function annotation is to search particular structural motifs that are known to be shared by proteins with a given function. Results:...
Leslie Regad, Juliette Martin, Anne-Claude Camprou...