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    ARC
    2007
    Springer
    123views Hardware» more  ARC 2007»
    Multiple Sequence Alignment Using Reconfigurable Computing
    14 years 2 months ago
    Multiple Sequence Alignment Using Reconfigurable Computing
    Download  www.cpgei.cefetpr.br
    The alignment of multiple protein (or DNA) sequences is a current problem in Bioinformatics. ClustalW is the most popular heuristic algorithm for multiple sequence alignment. Pairw...
    Carlos R. Erig Lima, Heitor S. Lopes, Maiko R. Mor...
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    PSB
    2004
    91views Applied Computing» more  PSB 2004»
    Motif Discovery in Heterogeneous Sequence Data
    13 years 11 months ago
    Motif Discovery in Heterogeneous Sequence Data
    Download  www.cs.washington.edu
    This paper introduces the first integrated algorithm designed to discover novel motifs in heterogeneous sequence data, which is comprised of coregulated genes from a single genome...
    Amol Prakash, Mathieu Blanchette, Saurabh Sinha, M...
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    ISMB
    1994
    109views Computational Biology» more  ISMB 1994»
    Optimally Parsing a Sequence into Different Classes Based on Multiple Types of Evidence
    13 years 11 months ago
    Optimally Parsing a Sequence into Different Classes Based on Multiple Types of Evidence
    Download  www.aaai.org
    Weconsider the problem of parsing a sequence into different classes of subsequences.Twocommonexamplesare finding the exons and introns in genomicsequences and identifying the seco...
    Gary D. Stormo, David Haussler
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    NAR
    2000
    123views more  NAR 2000»
    Update of AMmtDB: a database of multi-aligned Metazoa mitochondrial DNA sequences
    13 years 10 months ago
    Update of AMmtDB: a database of multi-aligned Metazoa mitochondrial DNA sequences
    Download  cmbi.bjmu.edu.cn
    The AMmtDB database (http://bio-www.ba.cnr.it:8000/ srs6/ ) has been updated by collecting the multi-aligned sequences of Chordata mitochondrial genes coding for proteins and tRNA...
    Cecilia Lanave, Sabino Liuni, Flavio Licciulli, Ma...
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    RECOMB
    2006
    Springer
    149views Computational Biology» more  RECOMB 2006»
    Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence
    14 years 10 months ago
    Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence
    Download  www.dsi.unifi.it
    Abstract. We describe and empirically evaluate machine learning methods for the prediction of zinc binding sites from protein sequences. We start by observing that a data set consi...
    Sauro Menchetti, Andrea Passerini, Paolo Frasconi,...
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