Molecular Evolutionary Genetics

Author	: Masatoshi Nei
Publisher	: Columbia University Press
Total Pages	: 526
Release	: 1987
ISBN-10	: 0231063210
ISBN-13	: 9780231063210
Rating	: 4/5 (10 Downloads)

DOWNLOAD EBOOK

Book Synopsis Molecular Evolutionary Genetics by : Masatoshi Nei

Download or read book Molecular Evolutionary Genetics written by Masatoshi Nei and published by Columbia University Press. This book was released on 1987 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: -- "The Scientist"

Molecular Evolutionary Genetics Related Books

Language: en
Pages: 526

Molecular Evolutionary Genetics

Authors: Masatoshi Nei

Categories: Computers

Type: BOOK - Published: 1987 - Publisher: Columbia University Press

DOWNLOAD EBOOK

-- "The Scientist"

Language: en
Pages: 503

Molecular Methods for Evolutionary Genetics

Authors: Virginie Orgogozo

Categories: Medical

Type: BOOK - Published: 2011-03-15 - Publisher: Humana Press

DOWNLOAD EBOOK

We are entering a particularly fruitful period in evolutionary genetics, as rapid technological progress transforms the investigation of genetic variation withi

Language: en
Pages: 351

The Causes of Molecular Evolution

Authors: John H. Gillespie

Categories: Science

Type: BOOK - Published: 1994-05-26 - Publisher: Oxford University Press

DOWNLOAD EBOOK

This work provides a unified theory that addresses the important problem of the origin and maintenance of genetic variation in natural populations. With modern

Language: en
Pages: 352

Molecular Evolution

Authors: Roderick D.M. Page

Categories: Science

Type: BOOK - Published: 2009-07-14 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

The study of evolution at the molecular level has given the subject of evolutionary biology a new significance. Phylogenetic 'trees' of gene sequences are a pow

Language: en
Pages: 374

Computational Molecular Evolution

Authors: Ziheng Yang

Categories: Medical

Type: BOOK - Published: 2006-10-05 - Publisher: Oxford University Press, USA

DOWNLOAD EBOOK

This book describes the models, methods and algorithms that are most useful for analysing the ever-increasing supply of molecular sequence data, with a view to