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» Markov Methods for Hierarchical Coarse-Graining of Large Pro...
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BMCBI
2010
138views more  BMCBI 2010»
13 years 5 months ago
A model-independent approach to infer hierarchical codon substitution dynamics
Background: Codon substitution constitutes a fundamental process in molecular biology that has been studied extensively. However, prior studies rely on various assumptions, e.g. r...
Olof Görnerup, Martin Nilsson Jacobi
BMCBI
2004
177views more  BMCBI 2004»
13 years 4 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu
BMCBI
2004
96views more  BMCBI 2004»
13 years 4 months ago
A hybrid clustering approach to recognition of protein families in 114 microbial genomes
Background: Grouping proteins into sequence-based clusters is a fundamental step in many bioinformatic analyses (e.g., homology-based prediction of structure or function). Standar...
Timothy J. Harlow, J. Peter Gogarten, Mark A. Raga...
BMCBI
2008
137views more  BMCBI 2008»
13 years 5 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She