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Computational Systems Biology

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Computational Systems Biology Synopsis

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.

About This Edition

ISBN: 9781493992669
Publication date:
Author: Tao Huang
Publisher: Humana Press an imprint of Springer New York
Format: Paperback
Pagination: 417 pages
Series: Methods in Molecular Biology
Genres: Computational biology / bioinformatics

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