Editors:
- Includes cutting-edge methods and protocols
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
Part of the book series: Methods in Molecular Biology (MIMB, volume 1754)
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Table of contents (21 protocols)
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Front Matter
About this book
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.Â
Editors and Affiliations
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Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
Tao Huang
Bibliographic Information
Book Title: Computational Systems Biology
Book Subtitle: Methods and Protocols
Editors: Tao Huang
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-4939-7717-8
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2018
Hardcover ISBN: 978-1-4939-7716-1
Softcover ISBN: 978-1-4939-9266-9
eBook ISBN: 978-1-4939-7717-8
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XII, 417
Number of Illustrations: 10 b/w illustrations, 38 illustrations in colour
Topics: Bioinformatics
Industry Sectors: Biotechnology