Description

Book Synopsis
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.Written by active researchers in the emerging areas, this book gives senior undergraduate students, graduate students and new researchers an idea of where the frontiers of systems biology are and an opportunity to learn high-throughput techniques in use. One of the particular emphases of the book is to elucidate the molecular mechanisms in cancer. The discovery of biomarkers and anti-cancer drugs using systems biology approach is also extensively discussed.

Table of Contents
Gene/Protein Networks and Pathways: Introduction to Systems Biology; Gene Network Construction for Molecular Regulation; MicroRNA Regulated Cellular Networks in Cancer; Disease-related Modules in Protein Interaction Networks; Biomolecular Pathway Modeling; High-throughput Omics Data and Analysis: Methods and Systems for ChIP-seq Data Analysis; Discovery of Transcription Factor Binding Sites and Its Applications in Cancer Study; Cancer Epigenomics; Tools and Emerging Applications for Mining the Phosphoproteome in Cancer Biology; Predicting Cancer-Related MicroRNAs; MicroRNA Regulation: Databases and Tools; Applications for Biomarkers and Drug Discovery: Next-Generation Sequencing Technologies and Their Applications in Cancer Research; Membrane Proteomics for the Opportunity of Cancer Biomarker and Drug Target Discovery; Structure-Based Systems Biology and Drug Design in Cancer Research; Discovering Drug Targets for Cancer

Systems Biology: Applications In Cancer-related

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A Hardback by Hsueh-fen Juan, Hsuan-cheng Huang

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    View other formats and editions of Systems Biology: Applications In Cancer-related by Hsueh-fen Juan

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 01/03/2012
    ISBN13: 9789814324458, 978-9814324458
    ISBN10: 9814324450

    Description

    Book Synopsis
    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.Written by active researchers in the emerging areas, this book gives senior undergraduate students, graduate students and new researchers an idea of where the frontiers of systems biology are and an opportunity to learn high-throughput techniques in use. One of the particular emphases of the book is to elucidate the molecular mechanisms in cancer. The discovery of biomarkers and anti-cancer drugs using systems biology approach is also extensively discussed.

    Table of Contents
    Gene/Protein Networks and Pathways: Introduction to Systems Biology; Gene Network Construction for Molecular Regulation; MicroRNA Regulated Cellular Networks in Cancer; Disease-related Modules in Protein Interaction Networks; Biomolecular Pathway Modeling; High-throughput Omics Data and Analysis: Methods and Systems for ChIP-seq Data Analysis; Discovery of Transcription Factor Binding Sites and Its Applications in Cancer Study; Cancer Epigenomics; Tools and Emerging Applications for Mining the Phosphoproteome in Cancer Biology; Predicting Cancer-Related MicroRNAs; MicroRNA Regulation: Databases and Tools; Applications for Biomarkers and Drug Discovery: Next-Generation Sequencing Technologies and Their Applications in Cancer Research; Membrane Proteomics for the Opportunity of Cancer Biomarker and Drug Target Discovery; Structure-Based Systems Biology and Drug Design in Cancer Research; Discovering Drug Targets for Cancer

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