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[ subject:"Bioinformatics" ]
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Statistics for bioinformatics :metho...
~
Thompson, Julie D.,
Statistics for bioinformatics :methods for multiple sequence alignment /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Statistics for bioinformatics :Julie Dawn Thompson.
其他題名:
methods for multiple sequence alignment /
作者:
Thompson, Julie D.,
面頁冊數:
1 online resource
標題:
BioinformaticsStatistical methods.
電子資源:
https://www.sciencedirect.com/science/book/9781785482168
ISBN:
9780081019610$q(electronic bk.)
Statistics for bioinformatics :methods for multiple sequence alignment /
Thompson, Julie D.,
Statistics for bioinformatics :
methods for multiple sequence alignment /Julie Dawn Thompson. - 1 online resource - Statistics for bioinformatics set. - Statistics for bioinformatics set..
Includes bibliographical references and index.
Statistics for Bioinformatics: Methods for Multiple Sequence Alignment provides an in-depth introduction to the most widely used methods and software in the bioinformatics field. With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has become one of the cornerstones of bioinformatics. Multiple sequence alignments are crucial for genome annotation, as well as the subsequent structural, functional, and evolutionary studies of genes and gene products. Consequently, there has been renewed interest in the development of novel multiple sequence alignment algorithms and more efficient programs.
ISBN: 9780081019610$q(electronic bk.)Subjects--Topical Terms:
239219
Bioinformatics
--Statistical methods.Index Terms--Genre/Form:
214472
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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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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https://www.sciencedirect.com/science/book/9781785482168
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