Statistics for Bioinformatics : Methods for Multiple Sequence Alignment

Julie Thompson

ISBN 10: 1785482165 / ISBN 13: 9781785482168

Published by Elsevier Science & Technology, ISTE Press - Elsevier, 2016

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9781785482168

Bibliographic Details

Title: Statistics for Bioinformatics : Methods for ...

Publisher: Elsevier Science & Technology, ISTE Press - Elsevier

Publication Date: 2016

Binding: Buch

Condition: Neu

About this title

Synopsis:

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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About the Author:

Julie Dawn Thompson is a Senior Scientist at the French National Center for Scientific Research with expertise in theoretical bioinformatics, data mining, knowledge engineering, integrative bioinformatics and genomics, (LBGI) Stochastic Optimization and Nature inspired Computing (SONIC)