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Statistics for bioinformatics : methods for multiple sequence alignment / Julie Dawn Thompson.

By: Material type: TextTextSeries: Statistics for bioinformatics setPublication details: London, UK : ISTE Press : Elsevier, 2016.Description: xi, 134 pages : illustrations ; 24 cmISBN:
  • 9781785482168
Subject(s): DDC classification:
  • 000SB:570.285 23 T473
Contents:
PART I: Fundamental concepts -- 1. Introduction -- PART II: Traditional multiple sequence alignment methods -- 2. Heuristic sequence alignment methods -- 3. Statistical alignment approaches -- 4. Multiple alignment quality control -- 5. Benchmarking -- 6. Whole genome alignment -- 7. Multiple alignment of thousands of sequences -- 8. Future perspectives; High-performance computing.
Summary: Statistics for Bioinformatics: Methods for Multiple Sequence Alignment provides an in-depth introduction to the most widely used methods and software in the bioinformatics field. With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has become one of the cornerstones of bioinformatics. Multiple sequence alignments are crucial for genome annotation, as well as the subsequent structural, functional, and evolutionary studies of genes and gene products. Consequently, there has been renewed interest in the development of novel multiple sequence alignment algorithms and more efficient programs.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SB:570.285 T473 (Browse shelf(Opens below)) Available 138354
Total holds: 0

includes bibliographical references and index.

PART I: Fundamental concepts --
1. Introduction --
PART II: Traditional multiple sequence alignment methods --
2. Heuristic sequence alignment methods --
3. Statistical alignment approaches --
4. Multiple alignment quality control --
5. Benchmarking --
6. Whole genome alignment --
7. Multiple alignment of thousands of sequences --
8. Future perspectives; High-performance computing.

Statistics for Bioinformatics: Methods for Multiple Sequence Alignment provides an in-depth introduction to the most widely used methods and software in the bioinformatics field. With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has become one of the cornerstones of bioinformatics. Multiple sequence alignments are crucial for genome annotation, as well as the subsequent structural, functional, and evolutionary studies of genes and gene products. Consequently, there has been renewed interest in the development of novel multiple sequence alignment algorithms and more efficient programs.

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