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Computational Biology Integer Linear Programming in Computational and Systems Biology An Entry-Level Text and Course
Dan Gusfield University of California, Davis
Integer linear programming is a versatile modeling and optimization technique with potential to transform biological computation. This hands-on text, designed for students, researchers, and professionals in both biology and computational fields, demonstrates applications in genomics, RNA and protein folding, DNA sequencing, phylogenetics, and more. Contents: Part I; Part II. ‘In his classic accessible teaching style, Gusfield teaches us why integer linear programming (ILP) is the most useful mathematical idea you’ve probably never heard of. Read this book to learn how what you don’t know can hurt you, and why ILP should be your new favorite method.’ Trey Ideker, University of California, San Diego ‘Once again, Dan Gusfield has written an accessible book that shows that algorithmic rigor need not be sacrificed when solving real-world problems. He explains integer linear programming in the context of real-world biology. In doing so, the reader has an enriched understanding of both algorithmic details and the challenges in modern biology.’ Russ Altman, Stanford University, California 2019 253 x 177 mm 428pp 123 b/w illus. 978-1-108-42176-8 Hardback £49.99 / US$64.99 For all formats available, see
www.cambridge.org/9781108421768
Bioinformatics and Computational Biology in Drug Discovery and Development Edited by William T. Loging Mount Sinai School of Medicine, New York
Providing a comprehensive overview of the drug discovery and development pipeline, this book focuses on the integral role that computational biology methods play in this process. Covering technological advances and their relation to drug developmental processes, readers are exposed to new methods of discovery utilising the available technology. ‘We live in transformative times and perhaps big data and analytics represent a most interesting and essential concept of today. From the telescope to the microscope, our ability to peer into complexities of life has transformed humanity. Big data is the next major step in major transition. Bioinformatics and Computational Biology in Drug Discovery and Development is a road map to an inevitable future – a future where data define disease, diagnosis and drugs. This book is an essential companion for anyone in drug development who has one foot in the present and one in the future.’ John Nosta, President, NOSTALAB 2018 244 x 170 mm 253pp 46 b/w illus. 9 colour illus. 3 tables 978-1-108-46115-3 Paperback £29.99 / US$39.99 For all formats available, see
www.cambridge.org/9781108461153
