Computational Systems Biology Tao Huang 1493977164 9781493977161

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Product details:

• ISBN-10 ‏ : ‎ 1493977164
• ISBN-13 ‏ : ‎ 9781493977161
• Author: Tao Huang

This volume introduces the reader to the latest experimental and bioinformatics methods for DNA sequencing, RNA sequencing, cell-free tumour DNA sequencing, single cell sequencing, single-cell proteomics and metabolomics. Chapters detail advanced analysis methods, such as Genome-Wide Association Studies (GWAS), machine learning, reconstruction and analysis of gene regulatory networks and differential coexpression network analysis, and gave a practical guide for how to choose and use the right algorithm or software to handle specific high throughput data or multi-omics data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Table of contents:

DNA Sequencing Data Analysis

Transcriptome Sequencing: RNA-Seq

Capture Hybridization of Long-Range DNA Fragments for High-Throughput Sequencing

The Introduction and Clinical Application of Cell-Free Tumor DNA

Bioinformatics Analysis for Cell-Free Tumor DNA Sequencing Data

An Overview of Genome-Wide Association Studies

Integrative Analysis of Omics Big Data

The Reconstruction and Analysis of Gene Regulatory Networks

Differential Coexpression Network Analysis for Gene Expression Data

iSeq: Web-Based RNA-seq Data Analysis and Visualization

Revisit of Machine Learning Supported Biological and Biomedical Studies

Identifying Interactions Between Long Noncoding RNAs and Diseases Based on Computational Methods

Survey of Computational Approaches for Prediction of DNA-Binding Residues on Protein Surfaces

Computational Prediction of Protein O-GlcNAc Modification

Machine Learning-Based Modeling of Drug Toxicity

Metabolomics: A High-Throughput Platform for Metabolite Profile Exploration

Single-Cell Protein Assays: A Review

Data Analysis in Single-Cell Transcriptome Sequencing

Applications of Single-Cell Sequencing for Multiomics

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