Parsimony, Phylogeny, and Genomics

Parsimony, Phylogeny, and Genomics
Author :
Publisher : Oxford University Press, USA
Total Pages : 240
Release :
ISBN-10 : 9780198564935
ISBN-13 : 0198564937
Rating : 4/5 (35 Downloads)

Book Synopsis Parsimony, Phylogeny, and Genomics by : Victor A. Albert

Download or read book Parsimony, Phylogeny, and Genomics written by Victor A. Albert and published by Oxford University Press, USA. This book was released on 2005-03-24 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Table of contents


Parsimony, Phylogeny, and Genomics Related Books

Parsimony, Phylogeny, and Genomics
Language: en
Pages: 240
Authors: Victor A. Albert
Categories: Science
Type: BOOK - Published: 2005-03-24 - Publisher: Oxford University Press, USA

DOWNLOAD EBOOK

Table of contents
Parsimony, Phylogeny, and Genomics
Language: en
Pages: 240
Authors: Victor A. Albert
Categories: Science
Type: BOOK - Published: 2005-03-24 - Publisher: OUP Oxford

DOWNLOAD EBOOK

Parsimony analysis (cladistics) has long been one of the most widely used methods of phylogenetic inference in the fields of systematic and evolutionary biology
Sequence — Evolution — Function
Language: en
Pages: 482
Authors: Eugene V. Koonin
Categories: Science
Type: BOOK - Published: 2013-06-29 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as func
The Phylogenetic Handbook
Language: en
Pages: 750
Authors: Marco Salemi
Categories: Science
Type: BOOK - Published: 2009-03-26 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

A broad, hands on guide with detailed explanations of current methodology, relevant exercises and popular software tools.
Handbook of Statistical Genomics
Language: en
Pages: 1740
Authors: David J. Balding
Categories: Science
Type: BOOK - Published: 2019-07-09 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statisti