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020 $a0879695978 (cloth : alk. paper)
020 $a0879695978 (hard cover : alk. paper)
020 $a0879696087 (paperback : alk. paper)
020 $a0879695978 (cloth)
020 $a0879696087 (pbk. : alk. paper)
020 $a0879696087 (pbk.)
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050 00 $aQH441.2$b.M68 2001
050 00 $aQH441.2$b.M68 2000
082 00 $a572.8/633$221
100 1 $aMount, David W.
245 10 $aBioinformatics :$bsequence and genome analysis
/$cDavid W. Mount.
260 $aCold Spring Harbor, N.Y. :$bCold Spring Harbor
Laboratory Press,$cc2001.
300 $axii, 564 p. :$bill. ;$c29 cm.
504 $aIncludes bibliographical references and index.
505 0 $a1. Historical Introduction and Overview -- 2.
Collecting and Storing Sequences in the Laboratory -- 3.
Alignment of Pairs of Sequences -- 4. Multiple Sequence
Alignment -- 5. Prediction of RNA Secondary Structure -- 6.
Phylogenetic Prediction -- 7. Database Searching for Similar
Sequences -- 8. Gene Prediction -- 9. Protein Classification
and Structure Prediction -- 10. Genome Analysis.
520 $aThe application of computational methods to DNA
and protein science is a new and exciting development in
biology. Bioinformatics: Sequence and Genome Analysis is a
comprehensive introduction to this emerging field of study.
The book has many unique and valuable features: It is
written for any biologist who wants to understand methods of
sequence and structure analysis and how the necessary
computer programs work; Sequence alignment, structure
prediction, phylogenetic and gene prediction, database
searching, and genome analysis are clearly explained and
amply illustrated; Underlying algorithms and assumptions
are clearly explained for the non-specialist; Examples are
presented in simple numerical terms rather than complex
formulas and notation; Theoretical underpinnings are linked
to biological problems and their solutions; Extensive
tables provide descriptions and Web sources for a broad
range of publicly available software; An associated Website
(www.BioinformaticsOnline.org), accessible free of charge by
book purchasers, provides links to Internet sources referred
to in the text, as well as problem sets for classroom use,
and other useful material not included in the text. Based
on the author's extensive experience as a molecular
geneticist and bioinformaticist at the University of
Arizona, this is a uniquely educational book, ideal as a
laboratory reference for investigators and also as teaching
reference for graduate and undergraduate students studying
this fast-changing discipline.
650 0 $aGenetics$xData processing.
650 0 $aBioinformatics.
650 0 $aNucleotide sequence.
650 0 $aAmino acid sequence.
