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» Using Multiple Alignments to Improve Gene Prediction
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CIKM
2009
Springer
14 years 1 months ago
Linear predictive coding representation of correlated mutation for protein sequence alignment
Background: Although both conservation and correlated mutation (CM) are important information reflecting the different sorts of context in multiple sequence alignment, most of ali...
Chan-seok Jeong, Dongsup Kim
RECOMB
2009
Springer
14 years 8 months ago
Learning Models for Aligning Protein Sequences with Predicted Secondary Structure
Accurately aligning distant protein sequences is notoriously difficult. A recent approach to improving alignment accuracy is to use additional information such as predicted seconda...
Eagu Kim, Travis J. Wheeler, John D. Kececioglu
EVOW
2010
Springer
13 years 10 months ago
Improving Multi-Relief for Detecting Specificity Residues from Multiple Sequence Alignments
A challenging problem in bioinformatics is the detection of residues that account for protein function specificity, not only in order to gain deeper insight in the nature of functi...
Elena Marchiori
BMCBI
2006
160views more  BMCBI 2006»
13 years 7 months ago
Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources
Background: In order to improve gene prediction, extrinsic evidence on the gene structure can be collected from various sources of information such as genome-genome comparisons an...
Mario Stanke, Oliver Schöffmann, Burkhard Mor...
NAR
2006
119views more  NAR 2006»
13 years 7 months ago
HHsenser: exhaustive transitive profile search using HMM-HMM comparison
HHsenser is the first server to offer exhaustive intermediate profile searches, which it combines with pairwise comparison of hidden Markov models. Starting from a single protein ...
Johannes Söding, Michael Remmert, Andreas Bie...