Statistics for bioinformatics : methods for multiple sequence alignment /

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Bibliographic Details
Author / Creator:	Thompson, Julie D., author.
Imprint:	London : ISTE Press : Elsevier, 2016.
Description:	1 online resource.
Language:	English
Series:	Statistics for bioinformatics set Statistics for bioinformatics set.
Subject:	Bioinformatics -- Statistical methods. Computational Biology. Sequence Alignment.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11361236

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ISBN:	9780081019610 0081019610 9781785482168 1785482165
Notes:	Includes bibliographical references and index. Online resource; title from PDF title page (EBSCO, viewed February 23, 2017).
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.
Other form:	Print version: 9780081019610

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