Chapman & Hall/CRC Computational Biology Series

About the Series: This series aims to capture new developments in computational ­biology, as well

as high-quality work summarizing or contributing to more established ­topics. Publishing a broad

range of reference works, textbooks, and handbooks, the series is designed to appeal to students,

researchers, and professionals in all areas of computational biology, including genomics, pro-

teomics, and cancer computational biology, as well as interdisciplinary researchers involved in

associated fields, such as bioinformatics and ­systems biology.

Metabolomics: Practical Guide to Design and Analysis

Ron Wehrens and Reza Salek

An Introduction to Systems Biology: Design Principles of Biological Circuits, Second Edition

Uri Alon

Computational Biology: A Statistical Mechanics Perspective, Second Edition

Ralf Blossey

Stochastic Modelling for Systems Biology, Third Edition

Darren J. Wilkinson

Computational Genomics with R

Altuna Akalin, Bora Uyar, Vedran Franke, and Jonathan Ronen

An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks

Karthik Raman

Virus Bioinformatics

Dmitrij Frishman and Manuela Marz

Multivariate Data Integration Using R: Methods and Applications with the mixOmics Package

Kim-Anh LeCao and Zoe Marie Welham

Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments

Hamid D. Ismail

Data Integration, Manipulation and Visualization of Phylogenetic Trees

Guangchuang Yu

Bioinformatics Methods: From Omics to Next Generation Sequencing

Shili Lin, Denise Scholtens, and Sujay Datta

For more information about this series please visit: https://www.routledge.com/Chapman-

HallCRC-Computational-Biology-Series/book-series/CRCCBS