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Sequence - Evolution - Function is an introduction to the
computational approaches that play a critical role in the emerging
new branch of biology known as functional genomics. The book
provides the reader with an understanding of the principles and
approaches of functional genomics and of the potential and
limitations of computational and experimental approaches to genome
analysis.
Key topics covered in this textbook are:
*the completed and ongoing genome sequencing projects,
*databases that store and organize genomic data, with their unique
advantages and pitfalls,
*principles and methods of genome analysis and annotation,
*ways to automate the searches and increase search sensitivity
while minimizing the error rate,
*the first lessons from the Human Genome Project,
*the contribution of comparative genomics to the understanding of
hereditary diseases and cancer,
*fundamental and practical applications of comparative
genomics,
*the use of complete genomes for evolutionary analysis,
*the application of comparative genomics for identification of
potential drug targets in microbial genomes,
*Problems for Further Study, which are designed to be solved by
using methods available through the WWW. Sequence - Evolution -
Function should help bridge the "digital divide" between biologists
and computer scientists, allowing biologists to better grasp the
peculiarities of the emerging field of Genome Biology and to learn
how to benefit from the enormous amount of sequence data available
in the public databases. The book is non-technical with respect to
the computer methods for genome analysis and discusses these
methods from the user's viewpoint, without addressing mathematical
and algorithmic details. Prior practical familiarity with the basic
methods for sequence analysis is a major advantage, but a reader
without such experience will be able to use the book as an
introduction to these methods. This book is perfect for
introductory level courses in computational methods for comparative
and functional genomics.
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