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    CIBCB
    2009
    IEEE
    191views Computational Biology» more  CIBCB 2009»
    Steady-state analysis of genetic regulatory networks modeled by nonlinear ordinary differential equations
    14 years 18 days ago
    Steady-state analysis of genetic regulatory networks modeled by nonlinear ordinary differential equations
    Download  wanghaixin.com
    Although Ordinary Differential Equations (ODEs) have been used to model Genetic Regulatory Networks (GRNs) in many previous works, their steady-state behaviors are not well studied...
    Haixin Wang, Lijun Qian, Edward R. Dougherty
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    CIBCB
    2009
    IEEE
    172views Computational Biology» more  CIBCB 2009»
    Improved prediction of trans-membrane spans in proteins using an artificial neural network
    14 years 18 days ago
    Improved prediction of trans-membrane spans in proteins using an artificial neural network
    Download  www.meilerlab.org
    Tools for the identification of trans-membrane spans from the protein sequence are widely used in the experimental community. Computational structural biology seeks to increase the...
    Julia Koehler, Ralf Mueller, Jens Meiler
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    ASM
    2008
    ASM
    98views Computational Biology» more  ASM 2008»
    Integrating Z into Large Projects Tools and Techniques
    14 years 19 days ago
    Integrating Z into Large Projects Tools and Techniques
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    Anthony Hall
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    ISMB
    1993
    116views Computational Biology» more  ISMB 1993»
    Automatic Derivation of Substructures Yields Novel Structural Building Blocks in Globular Proteins
    14 years 25 days ago
    Automatic Derivation of Substructures Yields Novel Structural Building Blocks in Globular Proteins
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    Xiru Zhang, Jacquelyn S. Fetrow, William A. Rennie...
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    ISMB
    1993
    164views Computational Biology» more  ISMB 1993»
    Transmembrane Segment Prediction from Protein Sequence Data
    14 years 25 days ago
    Transmembrane Segment Prediction from Protein Sequence Data
    Download  www.aaai.org
    Weconsider tile automatedidentification of transmembrane domains in membrane protein sequences. 324 proteins (containing 1585 segrrmnts) werc examined, representing every protein ...
    Sholom M. Weiss, Dawn M. Cohen, Nitin Indurkhya
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    ISMB
    1993
    141views Computational Biology» more  ISMB 1993»
    Pattern Discovery in Gene Regulation: Designing an Analysis Environment
    14 years 25 days ago
    Pattern Discovery in Gene Regulation: Designing an Analysis Environment
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    Interactions that determinecellular fate are exceedingly complex, can take place at different levels of gene regulation and involve a large numberof components(such as genes, prot...
    Stella Veretnik, Bruce R. Schatz
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    ISMB
    1993
    126views Computational Biology» more  ISMB 1993»
    Building Large Knowledge Bases in Molecular Biology
    14 years 25 days ago
    Building Large Knowledge Bases in Molecular Biology
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    Olivier Schmeltzer, Claudine Médigue, P. Uv...
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    ISMB
    1993
    150views Computational Biology» more  ISMB 1993»
    Computationally Efficient Cluster Representation in Molecular Sequence Megaclassification
    14 years 25 days ago
    Computationally Efficient Cluster Representation in Molecular Sequence Megaclassification
    Download  www.stateslab.org
    Molecular sequence megaclassification is a technique for automated protein sequence analysis and annotation. Implementation of the method has been limited by the need to store and...
    David J. States, Nomi L. Harris, Lawrence Hunter
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    ISMB
    1993
    147views Computational Biology» more  ISMB 1993»
    A Service-Oriented Information Sources Database for the Biological Sciences
    14 years 25 days ago
    A Service-Oriented Information Sources Database for the Biological Sciences
    Download  www.aaai.org
    Researchersin the biological sciencesrequire access to a variety of information sources locatedin variousplacesondifferent computer networks.In order to satisfy the information ne...
    Gordon K. Springer, Timothy B. Patrick
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    ISMB
    1993
    119views Computational Biology» more  ISMB 1993»
    Minimizing Complexity in Cellular Automata Models of Self-Replication
    14 years 25 days ago
    Minimizing Complexity in Cellular Automata Models of Self-Replication
    Download  www.aaai.org
    Understanding self-replication from an information processing perspective is important because, amongother things, it can shed light on molecular mechanismsof biological reproduct...
    James A. Reggia, Hui-Hsien Chou, Steven L. Armentr...
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