Editors:
- Discusses the latest developments in computational tools for complex biological datasets
- Contains contributions from an international and interdisciplinary selection of experts
- Provides a tribute to David Sankoff's 50 years of contributions to this field
- Includes supplementary material: sn.pub/extras
Part of the book series: Computational Biology (COBO, volume 19)
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Table of contents (14 chapters)
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Front Matter
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Emergence of Standard Algorithms
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Front Matter
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New Lights on Current Paradigms
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Front Matter
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Back Matter
About this book
This authoritative text/reference presents a review of the history, current status, and potential future directions of computational biology in molecular evolution. Gathering together the unique insights of an international selection of prestigious researchers, this must-read volume examines the latest developments in the field, the challenges that remain, and the new avenues emerging from the growing influx of sequence data. These viewpoints build upon the pioneering work of David Sankoff, one of the founding fathers of computational biology, and mark the 50th anniversary of his first scientific article. The broad spectrum of rich contributions in this essential collection will appeal to all computer scientists, mathematicians and biologists involved in comparative genomics, phylogenetics and related areas.
Editors and Affiliations
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Department of Mathematics, Simon Fraser University, Burnaby, Canada
Cedric Chauve
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Computer Science and Operations Research, University of Montreal, Montreal, Canada
Nadia El-Mabrouk
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Biometry and Evolutionary Biology, INRIA Rhône-Alpes, University of Lyon, Villeurbanne, France
Eric Tannier
About the editors
Dr. Cedric Chauve is an associate professor at the Department of Mathematics of Simon Fraser University, Canada.
Dr. Nadia El-Mabrouk is a full professor at the Computer Science Department of the University of Montreal, Canada.
Dr. Eric Tannier is a researcher at the Bioinformatics and Evolutionary Genomics Group of Inria Grenoble – Rhône-Alpes, France.
Bibliographic Information
Book Title: Models and Algorithms for Genome Evolution
Editors: Cedric Chauve, Nadia El-Mabrouk, Eric Tannier
Series Title: Computational Biology
DOI: https://doi.org/10.1007/978-1-4471-5298-9
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2013
Hardcover ISBN: 978-1-4471-5297-2Published: 30 September 2013
Softcover ISBN: 978-1-4471-7016-7Published: 27 September 2016
eBook ISBN: 978-1-4471-5298-9Published: 17 September 2013
Series ISSN: 1568-2684
Series E-ISSN: 2662-2432
Edition Number: 1
Number of Pages: XII, 328
Number of Illustrations: 41 b/w illustrations, 45 illustrations in colour
Topics: Computational Biology/Bioinformatics, Mathematical and Computational Biology, Bioinformatics, Mathematics of Computing