41 search results - page 4 / 9 » Evolving hidden Markov models for protein secondary structur... |
137
Voted
JCB
2006
15 years 1 months ago
2006
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
143
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RECOMB
2003
Springer
16 years 2 months ago
2003
Springer
A few models have appeared in recent years that consider not only the way substitutions occur through evolutionary history at each site of a genome, but also the way the process c...
114
Voted
BMCBI
2010
15 years 1 months ago
2010
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
NAR
2006
15 years 1 months ago
2006
PROFtmb predicts transmembrane beta-barrel (TMB) proteins in Gram-negative bacteria. For each query protein, PROFtmb provides both a Z-value indicating that the protein actually c...
156
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BMCBI
2002
15 years 1 months ago
2002
Background: Covariance models (CMs) are probabilistic models of RNA secondary structure, analogous to profile hidden Markov models of linear sequence. The dynamic programming algo...