Computational text analysis for functional genomics and bioinformatics /

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Bibliographic Details
Author / Creator:	Raychaudhuri, Soumya.
Imprint:	Oxford : Oxford University Press, 2006.
Description:	1 online resource (xix, 288 pages)
Language:	English
Subject:	Genomics -- Data processing. Bioinformatics. Computational biology. Genomics -- methods. Computational Biology. Bioinformatics. Computational biology. Genomics -- Data processing. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11152677

Hidden Bibliographic Details
ISBN:	9780191513770 0191513776 9780198567400 0198567405 9780198567417 0198567413 128096507X 9781280965074 9786610965076 6610965072
Digital file characteristics:	data file
Notes:	Includes bibliographical references and index. Print version record.
Summary:	This book brings together the two disparate worlds of computational text analysis and biology and presents some of the latest methods and applications to proteomics, sequence analysis and gene expression data. Modern genomics generates large and comprehensive data sets but their interpretation requires an understanding of a vast number of genes, their complex functions, and interactions. Keeping up with the literature on a single gene is a challenge itself-for thousands of genes it is simply. impossible. Here, Soumya Raychaudhuri presents the techniques and algorithms needed to access and util.
Other form:	Print version: Raychaudhuri, Soumya. Computational text analysis for functional genomics and bioinformatics. Oxford : Oxford University Press, 2006 0198567405 9780198567400
Standard no.:	9786610965076

Table of Contents:

List of Figures; List of Plates; List of Tables; 1 An introduction to text analysis in genomics; 2 Functional genomics; 3 Textual profiles of genes; 4 Using text in sequence analysis; 5 Text-based analysis of a single series of gene expression measurements; 6 Analyzing groups of genes; 7 Analyzing large gene expression data sets; 8 Using text classfication for gene function annotation; 9 Finding gene names; 10 Protein interaction networks; 11 Conclusion; Index.

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