Biological Networks and Pathway Analysis

1. Auflage 2017
ISBN: 978-1-4939-7025-4
Verlag: Springer

Buch, Englisch, Band 1613, 509 Seiten, HC runder Rücken kaschiert, Format (B × H): 183 mm x 260 mm, Gewicht: 11195 g

Reihe: Methods in Molecular Biology

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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Nikolsky, Yuri

Tatarinova, Tatiana V.

Fachgebiete

• Naturwissenschaften Biowissenschaften Proteinforschung

Inhaltsverzeichnis

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.