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Biological networks and pathway analysis / edited by Tatiana V. Tatarinova, Yuri Nikolsky.

Contributor(s): Tatarinova, Tatiana V [editor.] | Nikolsky, Yuri [editor.]Material type: TextTextSeries: Methods in molecular biology (Clifton, N.J.) ; v. 1613.Publisher: New York, NY : Humana Press, [2017]Copyright date: ©2017Description: 1 online resource (xiv, 509 pages) : illustrations (some color)Content type: text Media type: computer Carrier type: online resourceISBN: 9781493970278; 1493970275Subject(s): Systems biology -- Laboratory manuals | Biomathematics -- Laboratory manuals | Systems Biology -- methods | Metabolic Networks and Pathways | Neural Pathways | Models, Biological | Science -- Life Sciences -- Biochemistry | Proteins | Biomathematics | Systems biologyGenre/Form: Laboratory Manual. | Electronic books. | Laboratory manuals. Additional physical formats: Print version:: Biological networks and pathway analysis.DDC classification: 570.1/13 LOC classification: QH324.2NLM classification: W1 | QU 25Online resources: Click here to access online
Contents:
A Practical Guide to Quantitative Interactor Screening with Next-Generation Sequencing (QIS-Seq) -- sbv IMPROVER: Modern Approach to Systems Biology -- Mathematical Justification of Expression-Based Pathway Activation Scoring (PAS) -- Bioinformatics Meets Biomedicine: OncoFinder, a Quantitative Approach for Interrogating Molecular Pathways Using Gene Expression Data -- Strategic Integration of Multiple Bioinformatics Resources for System Level Analysis of Biological Networks -- Functional Analysis of OMICs Data and Small Molecule Compounds in an Integrated "Knowledge-Based" Platform -- Extracting the Strongest Signals from Omics Data: Differentially Expressed Pathways and Beyond -- Search for Master Regulators in Walking Cancer Pathways -- Mathematical Modeling of Avidity Distribution and Estimating General Binding Properties of Transcription Factors from Genome-Wide Binding Profiles -- A Weighted SNP Correlation Network Method for Estimating Polygenic Risk Scores -- Analysis of cis-Regulatory Elements in Gene Co-Expression Networks in Cancer -- Applying Association Rule Mining Techniquest to Predict Procaryotic Metabolic Pathways -- ArrayTrack: An FDA and Public Genomic Tool -- Identification of Transcriptional Regulators of Psoriasis from RNA-Seq Experiments -- Comprehensive Analyses of Tissue-Specific Networks with Implications to Psychiatric Diseases -- Semantic Data Integration and Knowledge Management to Represent Biological Network Associations -- Knowledge-Based Compact Disease Models: A Rapid Path from High-Throughput Data to Understanding Causative Mechanisms for a Complex Disease -- Pharmacologic Manipulation of Wnt Signaling and Cancer Stem Cells -- Functional Network Disruptions in Schizophrenia.
Summary: In this volume, expert practitioners present a compilation of methods of functional data analysis (often referred to as "systems biology") and its applications in drug discovery, medicine, and basic disease research. It covers such important issues as the elucidation of protein, compound and gene interactions, as well as analytical tools, including networks, interactome and ontologies, and clinical applications of functional analysis. As a volume in the highly successful Methods in Molecular Biology series, this work provides detailed description and hands-on implementation advice. Reputable, comprehensive, and cutting-edge, Biological Networks and Pathway Analysis presents both "wet lab" experimental methods and computational tools in order to cover a broad spectrum of issues in this fascinating new field.
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Includes bibliographical references and index.

Online resource; title from PDF title page (SpringerLink, viewed September 8, 2017).

A Practical Guide to Quantitative Interactor Screening with Next-Generation Sequencing (QIS-Seq) -- sbv IMPROVER: Modern Approach to Systems Biology -- Mathematical Justification of Expression-Based Pathway Activation Scoring (PAS) -- Bioinformatics Meets Biomedicine: OncoFinder, a Quantitative Approach for Interrogating Molecular Pathways Using Gene Expression Data -- Strategic Integration of Multiple Bioinformatics Resources for System Level Analysis of Biological Networks -- Functional Analysis of OMICs Data and Small Molecule Compounds in an Integrated "Knowledge-Based" Platform -- Extracting the Strongest Signals from Omics Data: Differentially Expressed Pathways and Beyond -- Search for Master Regulators in Walking Cancer Pathways -- Mathematical Modeling of Avidity Distribution and Estimating General Binding Properties of Transcription Factors from Genome-Wide Binding Profiles -- A Weighted SNP Correlation Network Method for Estimating Polygenic Risk Scores -- Analysis of cis-Regulatory Elements in Gene Co-Expression Networks in Cancer -- Applying Association Rule Mining Techniquest to Predict Procaryotic Metabolic Pathways -- ArrayTrack: An FDA and Public Genomic Tool -- Identification of Transcriptional Regulators of Psoriasis from RNA-Seq Experiments -- Comprehensive Analyses of Tissue-Specific Networks with Implications to Psychiatric Diseases -- Semantic Data Integration and Knowledge Management to Represent Biological Network Associations -- Knowledge-Based Compact Disease Models: A Rapid Path from High-Throughput Data to Understanding Causative Mechanisms for a Complex Disease -- Pharmacologic Manipulation of Wnt Signaling and Cancer Stem Cells -- Functional Network Disruptions in Schizophrenia.

In this volume, expert practitioners present a compilation of methods of functional data analysis (often referred to as "systems biology") and its applications in drug discovery, medicine, and basic disease research. It covers such important issues as the elucidation of protein, compound and gene interactions, as well as analytical tools, including networks, interactome and ontologies, and clinical applications of functional analysis. As a volume in the highly successful Methods in Molecular Biology series, this work provides detailed description and hands-on implementation advice. Reputable, comprehensive, and cutting-edge, Biological Networks and Pathway Analysis presents both "wet lab" experimental methods and computational tools in order to cover a broad spectrum of issues in this fascinating new field.

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