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    BMCBI
    2008
    108views more  BMCBI 2008»
    A nonparametric model for quality control of database search results in shotgun proteomics
    13 years 8 months ago
    A nonparametric model for quality control of database search results in shotgun proteomics
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    Background: Analysis of complex samples with tandem mass spectrometry (MS/MS) has become routine in proteomic research. However, validation of database search results creates a bo...
    Jiyang Zhang, Jianqi Li, Xin Liu, Hongwei Xie, Yun...
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    BMCBI
    2007
    122views more  BMCBI 2007»
    TAP score: torsion angle propensity normalization applied to local protein structure evaluation
    13 years 8 months ago
    TAP score: torsion angle propensity normalization applied to local protein structure evaluation
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    Background: Experimentally determined protein structures may contain errors and require validation. Conformational criteria based on the Ramachandran plot are mainly used to disti...
    Silvio C. E. Tosatto, Roberto Battistutta
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    BMCBI
    2007
    109views more  BMCBI 2007»
    Computational RNA secondary structure design: empirical complexity and improved methods
    13 years 8 months ago
    Computational RNA secondary structure design: empirical complexity and improved methods
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    Background: We investigate the empirical complexity of the RNA secondary structure design problem, that is, the scaling of the typical difficulty of the design task for various cl...
    Rosalía Aguirre-Hernández, Holger H....
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    BMCBI
    2008
    138views more  BMCBI 2008»
    M-BISON: Microarray-based integration of data sources using networks
    13 years 8 months ago
    M-BISON: Microarray-based integration of data sources using networks
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    Background: The accurate detection of differentially expressed (DE) genes has become a central task in microarray analysis. Unfortunately, the noise level and experimental variabi...
    Bernie J. Daigle Jr., Russ B. Altman
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    BMCBI
    2008
    160views more  BMCBI 2008»
    Predicting cancer involvement of genes from heterogeneous data
    13 years 8 months ago
    Predicting cancer involvement of genes from heterogeneous data
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    Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characte...
    Ramon Aragues, Chris Sander, Baldo Oliva
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