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Systems Biology and Computational Proteomics [electronic resource] : Joint RECOMB 2006 Satellite Workshops on Systems Biology and on Computational Proteomics, San Diego, CA, USA, December 1-3, 2006, Revised Selected Papers / edited by Trey Ideker, Vineet Bafna.

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 4532Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007Description: IX, 134 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540730606
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 005.1 23
LOC classification:
  • QA76.9.A43
Online resources:
Contents:
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.
In: Springer eBooks
Item type: E-BOOKS
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IMSc Library Link to resource Available EBK7633

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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The Institute of Mathematical Sciences, Chennai, India