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BMCBI
2006
134views more  BMCBI 2006»
13 years 4 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 ...
BIB
2006
141views more  BIB 2006»
13 years 4 months ago
Statistical significance in biological sequence analysis
One of the major goals of computational sequence analysis is to find sequence similarities, which could serve as evidence of structural and functional conservation, as well as of ...
Alexander Yu. Mitrophanov, Mark Borodovsky
NAR
2010
140views more  NAR 2010»
12 years 11 months ago
GUIDANCE: a web server for assessing alignment confidence scores
Evaluating the accuracy of multiple sequence alignment (MSA) is critical for virtually every comparative sequence analysis that uses an MSA as input. Here we present the GUIDANCE ...
Osnat Penn, Eyal Privman, Haim Ashkenazy, Giddy La...
BMCBI
2011
12 years 12 months ago
Accurate statistics for local sequence alignment with position-dependent scoring by rare-event sampling
Background: Molecular database search tools need statistical models to assess the significance for the resulting hits. In the classical approach one asks the question how probable...
Stefan Wolfsheimer, Inke Herms, Sven Rahmann, Alex...
BMCBI
2008
78views more  BMCBI 2008»
13 years 5 months ago
A new protein linear motif benchmark for multiple sequence alignment software
Background: Linear motifs (LMs) are abundant short regulatory sites used for modulating the functions of many eukaryotic proteins. They play important roles in post-translational ...
Emmanuel Perrodou, Claudia Chica, Olivier Poch, To...