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Models and Algorithms for Genome Evolution

  • Book
  • © 2013

Overview

  • 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)

  1. Emergence of Standard Algorithms

  2. New Lights on Current Paradigms

  3. Promising Directions

Keywords

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

  • Department of Mathematics, Simon Fraser University, Burnaby, Canada

    Cedric Chauve

  • Computer Science and Operations Research, University of Montreal, Montreal, Canada

    Nadia El-Mabrouk

  • 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.

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