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BMCBI
2006
134views more  BMCBI 2006»
14 years 9 months ago
A statistical score for assessing the quality of multiple sequence alignments
Background: Multiple sequence alignment is the foundation of many important applications in bioinformatics that aim at detecting functionally important regions, predicting protein...
Virpi Ahola, Tero Aittokallio, Mauno Vihinen, Esa ...
BMCBI
2005
125views more  BMCBI 2005»
14 years 9 months ago
DIALIGN-T: An improved algorithm for segment-based multiple sequence alignment
Background: We present a complete re-implementation of the segment-based approach to multiple protein alignment that contains a number of improvements compared to the previous ver...
Amarendran R. Subramanian, Jan Weyer-Menkhoff, Mic...
BMCBI
2010
101views more  BMCBI 2010»
14 years 9 months ago
Hidden Markov model speed heuristic and iterative HMM search procedure
Background: Profile hidden Markov models (profile-HMMs) are sensitive tools for remote protein homology detection, but the main scoring algorithms, Viterbi or Forward, require con...
L. Steven Johnson, Sean R. Eddy, Elon Portugaly
BMCBI
2002
133views more  BMCBI 2002»
14 years 9 months ago
Identification and characterization of subfamily-specific signatures in a large protein superfamily by a hidden Markov model app
Background: Most profile and motif databases strive to classify protein sequences into a broad spectrum of protein families. The next step of such database studies should include ...
Kevin Truong, Mitsuhiko Ikura
BMCBI
2007
91views more  BMCBI 2007»
14 years 9 months ago
A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
Background: Odorant binding proteins (OBPs) are believed to shuttle odorants from the environment to the underlying odorant receptors, for which they could potentially serve as od...
Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Sug...