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» Maximum entropy methods for biological sequence modeling
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BMCBI
2005
100views more  BMCBI 2005»
14 years 11 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
15 years 6 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»
14 years 6 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»
14 years 11 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»
14 years 11 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