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» Maximum entropy methods for biological sequence modeling
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BMCBI
2005
100views more  BMCBI 2005»
13 years 9 months ago
Scoredist: A simple and robust protein sequence distance estimator
Background: Distance-based methods are popular for reconstructing evolutionary trees thanks to their speed and generality. A number of methods exist for estimating distances from ...
Erik L. L. Sonnhammer, Volker Hollich
ICASSP
2007
IEEE
14 years 3 months ago
Fast Search of Sequences with Complex Symbol Correlations using Profile Context-Sensitive HMMS and Pre-Screening Filters
Recently, profile context-sensitive HMMs (profile-csHMMs) have been proposed which are very effective in modeling the common patterns and motifs in related symbol sequences. Pro...
Byung-Jun Yoon, P. P. Vaidyanathan
IJCV
2011
180views more  IJCV 2011»
13 years 4 months ago
Global Minimization for Continuous Multiphase Partitioning Problems Using a Dual Approach
This paper is devoted to the optimization problem of continuous multipartitioning, or multi-labeling, which is based on a convex relaxation of the continuous Potts model. In contr...
Egil Bae, Jing Yuan, Xue-Cheng Tai
BMCBI
2007
216views more  BMCBI 2007»
13 years 9 months ago
A replica exchange Monte Carlo algorithm for protein folding in the HP model
Background: The ab initio protein folding problem consists of predicting protein tertiary structure from a given amino acid sequence by minimizing an energy function; it is one of...
Chris Thachuk, Alena Shmygelska, Holger H. Hoos
BMCBI
2004
208views more  BMCBI 2004»
13 years 9 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein