Bioinformatics. Volume 2, Structure, function and applications /

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Bibliographic Details
Imprint:Totowa, N.J. : Humana, 2008.
Description:1 online resource (xiv, 502 pages) : illustrations (some color)
Language:English
Series:Methods in molecular biology ; 453
Methods in molecular biology (Clifton, N.J.) ; 453.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11208691
Hidden Bibliographic Details
Varying Form of Title:Structure, function and applications
Other authors / contributors:Keith, Jonathan M.
ISBN:9781603274296
1603274294
Notes:Includes bibliographical references and index.
Print version record.
Summary:This volume contains methods pertinent to the prediction of protein and RNA structures and the analysis and classification of structures, methods for inferring the function of previously identified genomic elements, chiefly protein-coding genes, medical applications in diagnostics and drug discovery, and "meta-methods" for developers of bioinformatics algorithms
Other form:Print version: Bioinformatics. Volume 2, Structure, function and applications. Totowa, N.J. : Humana, 2008 9781603274289 1603274286
Description
Summary:

Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biological research. In Bioinformatics, leading researchers in the field provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Volume II: Structure, Function and Applications contains methods pertinent to the prediction of protein and RNA structures and the analysis and classification of structures, methods for inferring the function of previously identified genomic elements, chiefly protein-coding genes, medical applications in diagnostics and drug discovery, and "meta-methods" for developers of bioinformatics algorithms.

Physical Description:1 online resource (xiv, 502 pages) : illustrations (some color)
Bibliography:Includes bibliographical references and index.
ISBN:9781603274296
1603274294