Systems Biology and Computational Proteomics

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Klappentext

This book constitutes the thoroughly refereed post-proceedings of two joint RECOMB 2006 satellite events: the Second Annual Workshop on Systems Biology, RSB 2006, and the First Biennial Workshop on Computational Proteomics, RCP 2006, held in San Diego, CA, USA in December 2006. The papers cover various aspects of systems biology and explore the use of computational mass spectrometry in various proteomic applications.


Inhalt
Not All Scale Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Emulation.- Probabilistic Paths for Protein Complex Inference.- Markov Additive Chains and Applications to Fragment Statistics for Peptide Mass Fingerprinting.- A Context-Specific Network of Protein-DNA and Protein-Protein Interactions Reveals New Regulatory Motifs in Human B Cells.- Identification and Evaluation of Functional Modules in Gene Co-expression Networks.- A Linear Discrete Dynamic System Model for Temporal Gene Interaction and Regulatory Network Influence in Response to Bioethanol Conversion Inhibitor HMF for Ethanologenic Yeast.- A Computational Approach for the Identification of Site-Specific Protein Glycosylations Through Ion-Trap Mass Spectrometry.- De Novo Signaling Pathway Predictions Based on Protein-Protein Interaction, Targeted Therapy and Protein Microarray Analysis.- Alignment of Mass Spectrometry Data by Clique Finding and Optimization.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783540730590
    • Auflage 2007
    • Editor Vineet Bafna, Trey Ideker
    • Sprache Englisch
    • Größe H235mm x B155mm x T9mm
    • Jahr 2007
    • EAN 9783540730590
    • Format Kartonierter Einband
    • ISBN 3540730591
    • Veröffentlichung 20.07.2007
    • Titel Systems Biology and Computational Proteomics
    • Untertitel Joint RECOMB 2006 Satellite Workshops on Systems Biology, and on Computational Proteomics, San Diego, CA, USA, December 1-3, 2006, Revised Selected Papers
    • Gewicht 230g
    • Herausgeber Springer Berlin Heidelberg
    • Anzahl Seiten 144
    • Lesemotiv Verstehen
    • Genre Informatik

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