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    BIB
    2006
    141views more  BIB 2006»
    Statistical significance in biological sequence analysis
    14 years 9 months ago
    Statistical significance in biological sequence analysis
    Download  opal.biology.gatech.edu
    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
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    ISMB
    1997
    114views Computational Biology» more  ISMB 1997»
    Bayesian Adaptive Alignment and Inference
    14 years 11 months ago
    Bayesian Adaptive Alignment and Inference
    Download  www.aaai.org
    Sequencealignmentwithoutthe specification of gap penaltiesor a scoringmatrixis attainedbyusing Bayesianinferenceanda recursivealgorithm.Thisprocedure’srecursivealgorithmsumsover...
    Jun Zhu, Jun S. Liu, Charles E. Lawrence
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    BMCBI
    2006
    139views more  BMCBI 2006»
    Improvement in accuracy of multiple sequence alignment using novel group-to-group sequence alignment algorithm with piecewise li
    14 years 9 months ago
    Improvement in accuracy of multiple sequence alignment using novel group-to-group sequence alignment algorithm with piecewise li
    Download  www.biomedcentral.com
    Background: Multiple sequence alignment (MSA) is a useful tool in bioinformatics. Although many MSA algorithms have been developed, there is still room for improvement in accuracy...
    Shinsuke Yamada, Osamu Gotoh, Hayato Yamana
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    92
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    NAR
    2006
    119views more  NAR 2006»
    HHsenser: exhaustive transitive profile search using HMM-HMM comparison
    14 years 9 months ago
    HHsenser: exhaustive transitive profile search using HMM-HMM comparison
    Download  www.eb.tuebingen.mpg.de
    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...
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    67
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    BMCBI
    2008
    176views more  BMCBI 2008»
    H2r: Identification of evolutionary important residues by means of an entropy based analysis of multiple sequence alignments
    14 years 9 months ago
    H2r: Identification of evolutionary important residues by means of an entropy based analysis of multiple sequence alignments
    Download  www.biomedcentral.com
    Background: A multiple sequence alignment (MSA) generated for a protein can be used to characterise residues by means of a statistical analysis of single columns. In addition to t...
    Rainer Merkl, Matthias Zwick
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