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Computational Phylogenetics: An Introduction to Designing Methods for Phylogeny Estimation

English

By (author): Tandy Warnow

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. See more
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A01=Tandy WarnowAge Group_UncategorizedAuthor_Tandy Warnowautomatic-updateCategory1=Non-FictionCategory=PSAJCategory=UYCOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=In stockPrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 940g
  • Dimensions: 177 x 253mm
  • Publication Date: 02 Nov 2017
  • Publisher: Cambridge University Press
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781107184718

About Tandy Warnow

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.

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