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Introduction to computational proteomics

By: Material type: TextTextSeries: Chapman & Hall/CRC mathematical and computational biology seriesPublication details: London : CRC Press, ©2011Description: xxii, 739 p. : ill. ; 25 cmISBN:
  • 9780367452285
Subject(s): DDC classification:
  • 572.6 22 YON-I
LOC classification:
  • QP551 .Y66 2011
NLM classification:
  • QU 58.5
Summary: "This book tackles the steps and problems involved with protein analysis, classification, and meta-organization. It starts with the analysis of individual entities and proceeds to the analysis of more complex entities, from protein families to interactions, cellular pathways, and gene networks. The first part of the book presents methods for identifying the building blocks of the protein space, algorithms for assessing similarity between proteins, and mathematical models for representing protein families and classifying new instances. The second part covers methods that investigate higher order structure in the protein space through the application of unsupervised learning algorithms"--Provided by publisher.
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Holdings
Item type Current library Collection Call number Status Notes Date due Barcode Item holds
Books Books IIITD Reference Biology CB 572.6 YON-I (Browse shelf(Opens below)) Available Book from DBT Project grant 010481
Total holds: 0

"A Chapman & Hall book."

Includes bibliographical references and index.

"This book tackles the steps and problems involved with protein analysis, classification, and meta-organization. It starts with the analysis of individual entities and proceeds to the analysis of more complex entities, from protein families to interactions, cellular pathways, and gene networks. The first part of the book presents methods for identifying the building blocks of the protein space, algorithms for assessing similarity between proteins, and mathematical models for representing protein families and classifying new instances. The second part covers methods that investigate higher order structure in the protein space through the application of unsupervised learning algorithms"--Provided by publisher.

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