Overview
- 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 1819)
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About this book
This volume details computational techniques for analyses of a wide range of biological contexts, providing an overview of the most up-to-date techniques used in the field. Chapters guide the reader through available data resources and analysis methods and easy-to-follow protocols that allow the researcher to apply various computational tools to an array of different data types. 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 and computational protocols, and tips on troubleshooting and avoiding known pitfalls.
Authoritative and cutting-edge, Computational Cell Biology: Method and Protocols aims to ensure successful results in the further study of this vital field.
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Keywords
Table of contents (19 protocols)
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Big Data- and Its Implications in Cell Biology
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Data-driven Analyses of High-throughput Datasets
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Network-Based Modeling of Cellular Phenotypes
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Mathematical Modeling of Cellular Phenotypes
Reviews
Editors and Affiliations
Bibliographic Information
Book Title: Computational Cell Biology
Book Subtitle: Methods and Protocols
Editors: Louise von Stechow, Alberto Santos Delgado
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-4939-8618-7
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2018
Hardcover ISBN: 978-1-4939-8617-0Published: 13 November 2018
eBook ISBN: 978-1-4939-8618-7Published: 12 November 2018
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XI, 436
Number of Illustrations: 8 b/w illustrations, 69 illustrations in colour
Topics: Bioinformatics