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Briefings in Bioinformatics Advance Access published online on February 27, 2007
Briefings in Bioinformatics, doi:10.1093/bib/bbm004
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© The Author 2007. Published by Oxford University Press. For Permissions, please email: journals.permissions@oxfordjournals.org

Book Review

Algebraic Statistics for Computational Biology

Edited by Lior Pachter and Bernd Sturmfels

Cambridge University Press, Cambridge; ISBN: 0-521-85700-7; 432pp.; 2005; $60.

The first 10% of the full text of this article appears below.

This book introduces a new, nontraditional framework that attempts to fuse the ‘four themes’ of algebra, statistics, computational algorithms and biological sequence analysis into a coherent whole. Algebraic Statistics is an emerging field that comprises statistical applications of computational algebraic geometry: statistical models are formulated so that one studies solutions of systems of polynomial equations. The models considered in this book come from computational biology, and include sequence alignment and molecular evolution. The book will primarily be of interest to mathematically sophisticated readers, from graduate students on up, with an interest in computational biology. The book is based on a graduate mathematics class taught by Pachter and Sturmfels at UC Berkeley in 2004, and comprises their lectures . . . [Full Text of this Article]

Glenn Tesler
Assistant Professor
Department of Mathematics
University of California, San Diego
La Jolla
CA 92093-0112
USA


E-mail: gptesler@math.ucsd.edu


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