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Bioinformatics
A Practical Guide to
the Analysis of Genes and Proteins
Second Edition
Edited
by
Andreas D. Baxevanis
B. F. Francis Ouellette
"provides
a broad overview of the basic tools for sequence analysis....For
biologists approaching this subject for the first time, it will
be a very useful handbook to keep on the shelf after the first
reading, close to the computer."
-Nature
Structural Biology
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"should
be in the personal library of any biologist who uses the Internet for
the analysis of DNA and protein sequence data"
-Science
"a
useful resource to help biologists extract the maximum value from their
data"
-Cell
"…a
wonderful primer designed to navigate the novice through the intricacies
of in scipto analysis….The accomplished gene searcher will also find
this book a useful addition to their library….an excellent reference
to the principles of bioinformatics."
-Trends
in Biochemical Sciences
"a
nice overview of...bioinformatics that is suitable for both the neophyte
and those experienced in the field….With the wide variety of topics
covered, this book is one that should be included in the collection
of anyone involved with the emerging field of bioinformatics."
-Biotech
Software and Internet Report
Computational tools
and approaches are being utilized to acquire, store, organize, archive,
analyze, and visualize biological data. Bioinformatics will spur critical
advances in the understanding of basic biological processes and the
identification of disease genes, towards the ultimate goal of designing
new and improved drug therapies. Universities are recognizing the importance
of these endeavors and are establishing programs in bioinformatics that
draw upon diverse disciplines, in particular molecular biology and computer
science.
The new edition
of Bioinformatics: A Practical Guide to the Analysis of Genes and
Proteins offers a sound foundation of basic concepts and a thorough
introduction to computational tools and databases relevant to biological
research. It covers the broad spectrum of topics in bioinformatics,
from Internet concepts to predictive algorithms used on sequence, structure,
and expression data. This supplementary website provides answers to
end-of-chapter problem sets, links to web resources, and downloadable
color figures from the book.
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