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» Randomized Algorithms for Motif Detection
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RECOMB
2005
Springer
14 years 6 months ago
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanath...
ICML
1999
IEEE
14 years 6 months ago
Detecting Motifs from Sequences
The problemofmultipleglobalcomparisonin familiesof biologicalsequences has been wellstudied. Fewer algorithms have been developed for identifying local consensus patterns or motif...
Yuh-Jyh Hu, Suzanne B. Sandmeyer, Dennis F. Kibler
WABI
2007
Springer
13 years 11 months ago
A Graph Clustering Approach to Weak Motif Recognition
The aim of the motif recognition problem is to detect a set of mutually similar subsequences within a collection of biological sequences. The weak motif recognition problem on DNA ...
Christina Boucher, Daniel G. Brown, Paul Church
BMCBI
2010
86views more  BMCBI 2010»
13 years 5 months ago
Fast motif recognition via application of statistical thresholds
Background: Improving the accuracy and efficiency of motif recognition is an important computational challenge that has application to detecting transcription factor binding sites...
Christina Boucher, James King
KDD
1997
ACM
161views Data Mining» more  KDD 1997»
13 years 9 months ago
Automated Discovery of Active Motifs in Three Dimensional Molecules
In this paper 1 we present a method for discovering approximately common motifs (also known as active motifs) in three dimensional (3D) molecules. Each node in a molecule is repre...
Xiong Wang, Jason Tsong-Li Wang, Dennis Shasha, Br...