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Library,Documentation and Information Science Division

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Bioinformatics and the cell : modern computational approaches in genomics, proteomics, and transcriptomics / Xuhua Xia.

By: Material type: TextTextPublication details: New Delhi : Springer, 2010.Description: xv, 349 p. ; illustrationsISBN:
  • 9788184897142
Subject(s): DDC classification:
  • 572.80285 23 X7
Contents:
1. Blast and Fasta; 2. Sequence alignment; 3. Contig assembly; 4. DNA replication and viral evolution; 5. Gene and motif prediction; 6. Hidden Markov Models; 7. Gibbs Sampler; 8. Bioinformatics and vertebrate mitochondria; 9. Characterizing translation efficiency; 10. Protein isoelectric point; 11. Bioinformatics and Two-Dimensional Protein Separation; 12. Self-Organizing Map and other clustering Algorithms; 13. Molecular Phylogenetics; 14. Fundamentals of Proteomics; References-- Index.
Summary: The book covers bioinformatics methods at a level more advanced than most other bioinformatics books, the extensive numerical illustration of these methods should make it accessible to most senior undergraduate students and graduate students majoring in science and software engineering. An additional advantage of using it as a text book is that nearly all algorithms in the book are implemented in a free and user friendly computer program.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 572.80285 X7 (Browse shelf(Opens below)) Available PC3432
Total holds: 0

Includes bibliographical references and index.

1. Blast and Fasta;
2. Sequence alignment;
3. Contig assembly;
4. DNA replication and viral evolution;
5. Gene and motif prediction;
6. Hidden Markov Models;
7. Gibbs Sampler;
8. Bioinformatics and vertebrate mitochondria;
9. Characterizing translation efficiency;
10. Protein isoelectric point;
11. Bioinformatics and Two-Dimensional Protein Separation;
12. Self-Organizing Map and other clustering Algorithms;
13. Molecular Phylogenetics;
14. Fundamentals of Proteomics;
References--
Index.

The book covers bioinformatics methods at a level more advanced than most other bioinformatics books, the extensive numerical illustration of these methods should make it accessible to most senior undergraduate students and graduate students majoring in science and software engineering. An additional advantage of using it as a text book is that nearly all algorithms in the book are implemented in a free and user friendly computer program.

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