Theory and mathematical methods for bioinformatics / Shiyi Shen, Jack A. Tuszynski.

By:

Shen, Shiyi

Contributor(s):

Tuszynski, J. A

Material type: Text

TextSeries: Biological and medical physics, biomedical engineeringPublication details: New Delhi : New Age International, Springer, 2010, c2008.Description: xvi, 445 p. : ill. ; 24 cmISBN:

9788184896251

Other title:

Theory and mathematical methods in bioinformatics

Subject(s):

DDC classification:

572.80285 SHE

LOC classification:

QH324.2 .S54 2008

NLM classification:

2008 D-793
QU 26.5

Online resources:

Table of contents only

Contents:

Part I: Mutations and alignments.- 1. Introduction.- 2. Stochastic models of mutations and structure analysis.- 3. Modulus structure theory.- 4. Super pairwise alignment.- 5. Multiple sequence alignment.- 6. Network structures of multiple sequences induced by mutation.- 7. Alignment space.- Part II: Protein configuration analysis.- 8. Background information concerning the properties of proteins.- 9. Informational and statistical iterative analysis of protein secondary structure prediction.- 10. 3D structure analysis of the protein backbone and side chains.- 11. Alignment of primary and 3D structures of proteins.- 12. Depth analysis of protein spatial structure.- 13. Analysis of the morphological features of protein spatial structure.- 14. Semantic analysis for protein primary structure.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	Learning Resource Centre	572.80285 SHE (Browse shelf(Opens below))	Available		8634

Total holds: 0

Includes bibliographical references and index.

Part I: Mutations and alignments.-
1. Introduction.-
2. Stochastic models of mutations and structure analysis.-
3. Modulus structure theory.-
4. Super pairwise alignment.-
5. Multiple sequence alignment.-
6. Network structures of multiple sequences induced by mutation.-
7. Alignment space.-
Part II: Protein configuration analysis.-
8. Background information concerning the properties of proteins.-
9. Informational and statistical iterative analysis of protein secondary structure prediction.-
10. 3D structure analysis of the protein backbone and side chains.-
11. Alignment of primary and 3D structures of proteins.-
12. Depth analysis of protein spatial structure.-
13. Analysis of the morphological features of protein spatial structure.-
14. Semantic analysis for protein primary structure.

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