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Systems biology applications in cancer-related research.

Contributor(s): Material type: TextPublication details: [S.l.] : World Scientific Publishing Co. Pte. Ltd., 2012Description: 339 pISBN:
  • 9814324450
  • 9789814324458
Subject(s): LOC classification:
  • QH324.2 S984 2012
Contents:
Systems biology : applications in cancer-related research -- Contents -- Contributors -- Part I: Gene/Protein Networks and Pathways -- Chapter 1: Introduction to Systems Biology -- Chapter 2: Gene Network Construction for Molecular Regulation -- Chapter 3: MicroRNA Regulation in Cellular Networks -- Chapter 4: Disease Modules in Protein-Protein Interaction Networks -- Chapter 5: Biomolecular Pathway Modeling -- Part II: High-Throughput Omics Data and Analysis -- Chapter 6: ChIP-Seq Analytics: Methods and Systems to Improve ChIP-Seq Peak Identification -- Chapter 7: Discovery of Transcription Factor Binding Sites and Its Applications in Cancer Study -- Chapter 8: Cancer Epigenomics -- Chapter 9: Cancer Phosphoproteomics: Tools and Emerging Applications for Mining the Phosphoproteome in Cancer Biology -- Chapter 10: Predicting MicroRNAs -- Chapter 11: MicroRNA Research in Cancer Biology: Databases and Tools -- Part III: Applications for Biomarkers and Drug Discovery -- Chapter 12: The Application of the Next-Generation Sequencing Technologies in Cancer Research -- Chapter 13: Membrane Proteomics for the Opportunity of Cancer Biomarker and Drug Target Discovery -- Chapter 14: Structure-Based Systems Biology and Drug Design in Cancer Research -- Chapter 15: Discovering Drug Targets for Cancer Therapy -- Index
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Abstract: This volume presents an overview of recent developments in systems biology and their applications in cancer-related research. The ongoing advances in our understanding of genomics and proteomics, coupled with the development of new and more robust tools, have led to an emphasis on analyzing biological systems at multiple levels. Thus, there is a need to integrate different types of data into a comprehensive “systems” view.
Item type: English Books
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
English Books MATRIX Library General Eng/FL.3 General Books QH324.2 S984 2012 (Browse shelf(Opens below)) C.1 Available 1000370447
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Systems biology : applications in cancer-related research -- Contents -- Contributors -- Part I: Gene/Protein Networks and Pathways -- Chapter 1: Introduction to Systems Biology -- Chapter 2: Gene Network Construction for Molecular Regulation -- Chapter 3: MicroRNA Regulation in Cellular Networks -- Chapter 4: Disease Modules in Protein-Protein Interaction Networks -- Chapter 5: Biomolecular Pathway Modeling -- Part II: High-Throughput Omics Data and Analysis -- Chapter 6: ChIP-Seq Analytics: Methods and Systems to Improve ChIP-Seq Peak Identification -- Chapter 7: Discovery of Transcription Factor Binding Sites and Its Applications in Cancer Study -- Chapter 8: Cancer Epigenomics -- Chapter 9: Cancer Phosphoproteomics: Tools and Emerging Applications for Mining the Phosphoproteome in Cancer Biology -- Chapter 10: Predicting MicroRNAs -- Chapter 11: MicroRNA Research in Cancer Biology: Databases and Tools -- Part III: Applications for Biomarkers and Drug Discovery -- Chapter 12: The Application of the Next-Generation Sequencing Technologies in Cancer Research -- Chapter 13: Membrane Proteomics for the Opportunity of Cancer Biomarker and Drug Target Discovery -- Chapter 14: Structure-Based Systems Biology and Drug Design in Cancer Research -- Chapter 15: Discovering Drug Targets for Cancer Therapy -- Index

HKBU library

YT2025 M09

This volume presents an overview of recent developments in systems biology and their applications in cancer-related research. The ongoing advances in our understanding of genomics and proteomics, coupled with the development of new and more robust tools, have led to an emphasis on analyzing biological systems at multiple levels. Thus, there is a need to integrate different types of data into a comprehensive “systems” view.

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