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Statistics for bioinformatics : = me...

Thompson, Julie D.,

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Statistics for bioinformatics : = methods for multiple sequence alignment /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistics for bioinformatics :/ Julie Dawn Thompson.
Reminder of title:	methods for multiple sequence alignment /
Author:	Thompson, Julie D.,
Description:	1 online resource
Subject:	Bioinformatics - Statistical methods. -
Online resource:	https://www.sciencedirect.com/science/book/9781785482168
ISBN:	9780081019610

Statistics for bioinformatics : = methods for multiple sequence alignment /
Thompson, Julie D.,

Statistics for bioinformatics :methods for multiple sequence alignment /Julie Dawn Thompson. - 1 online resource - Statistics for bioinformatics set. - Statistics for bioinformatics set..

Includes bibliographical references and index.

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.

ISBN: 9780081019610Subjects--Topical Terms:

590632
Bioinformatics
--Statistical methods.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QH324.2 / .T466 2016

Dewey Class. No.: 570.285

Statistics for bioinformatics : = methods for multiple sequence alignment /
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520 $a 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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