Computational Phylogenetics: An Introduction to Designing Methods for Phylogeny Estimation - Couverture rigide

Warnow, Tandy

 
9781107184718: Computational Phylogenetics: An Introduction to Designing Methods for Phylogeny Estimation
Couverture rigide
ISBN 10 : 1107184711 ISBN 13 : 9781107184718
Editeur : Cambridge University Press, 2017

Synopsis

A comprehensive account of both basic and advanced material in phylogeny estimation, focusing on computational and statistical issues. No background in biology or computer science is assumed, and there is minimal use of mathematical formulas, meaning that students from many disciplines, including biology, computer science, statistics, and applied mathematics, will find the text accessible. The mathematical and statistical foundations of phylogeny estimation are presented rigorously, following which more advanced material is covered. This includes substantial chapters on multi-locus phylogeny estimation, supertree methods, multiple sequence alignment techniques, and designing methods for large-scale phylogeny estimation. The author provides key analytical techniques to prove theoretical properties about methods, as well as addressing performance in practice for methods for estimating trees. Research problems requiring novel computational methods are also presented, so that graduate students and researchers from varying disciplines will be able to enter the broad and exciting field of computational phylogenetics.

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À propos de l?auteur

Tandy Warnow is a Founder Professor of Engineering at the University of Illinois, Urbana-Champaign. Her awards include the National Science Foundation Young Investigator Award (1994), the David and Lucile Packard Foundation Award in Science and Engineering (1996), a Radcliffe Institute for Advanced Study Fellowship (2003), and a John Simon Guggenheim Memorial Foundation Fellowship (2011). She was elected a Fellow of the Association for Computing Machinery (ACM) in 2015, and of the International Society for Computational Biology (ISCB) in 2017.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Cambridge University Press
Date d'édition
2017
Langue
anglais
ISBN 10 
1107184711
ISBN 13 
9781107184718
Reliure
Relié
Nombre de pages
394
Coordonnées du fabricant
non disponible
Personne responsable
Avery
https://www.avery.fr/

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