Biological Networks and Pathway Analysis

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.

Examines modern tools of OMICs data analysis, both data-driven and knowledge-based Provides real life and research applications of current methods of systems biology by experts in the field Includes specific applications of network and pathway analysis in specific disease areas and personalized medicine Includes supplementary material: sn.pub/extras

Inhalt
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.