Computational Systems Biology

Methods and Protocols

Tao Huang (Herausgeber)

Buch | Hardcover

417 Seiten

2018 | 1st ed. 2018
Humana Press Inc. (Verlag)
978-1-4939-7716-1 (ISBN)

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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.

Authoritative and cutting-edge, Computational Systems Biology: Methods and Protocols aims to ensuresuccessful results in the further study of this vital field.

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 Tumour 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 Non-coding 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 Multi-omics.- Progress on Diagnosis of Tuberculous Meningitis.- Insights of Acute Lymphoblastic Leukemia with Development of Genomic Investigation.

Erscheinungsdatum	11.04.2018
Reihe/Serie	Methods in Molecular Biology ; 1754
Zusatzinfo	38 Illustrations, color; 10 Illustrations, black and white; XII, 417 p. 48 illus., 38 illus. in color.
Verlagsort	Totowa, NJ
Sprache	englisch
Maße	178 x 254 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Informatik ► Weitere Themen ► Bioinformatik
	Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie
	Naturwissenschaften ► Biologie ► Mikrobiologie / Immunologie
Schlagworte	Cancer Cell Line Encyclopedia • ChIP-Seq • Genotype-Tissue Expression • Python • RNA-sequencing
ISBN-10	1-4939-7716-4 / 1493977164
ISBN-13	978-1-4939-7716-1 / 9781493977161
Zustand	Neuware