Gene Genealogies, Variation and Evolution: A primer in coalescent theory
Autor Jotun Hein, Mikkel Schierup, Carsten Wiufen Limba Engleză Paperback – 9 dec 2004
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Specificații
ISBN-13: 9780198529965
ISBN-10: 0198529961
Pagini: 296
Ilustrații: numerous line figures
Dimensiuni: 172 x 245 x 15 mm
Greutate: 0.61 kg
Editura: OUP OXFORD
Colecția OUP Oxford
Locul publicării:Oxford, United Kingdom
ISBN-10: 0198529961
Pagini: 296
Ilustrații: numerous line figures
Dimensiuni: 172 x 245 x 15 mm
Greutate: 0.61 kg
Editura: OUP OXFORD
Colecția OUP Oxford
Locul publicării:Oxford, United Kingdom
Recenzii
This book fills a very important gap, as the first general textbook to deal exclusively with coalescent theory.
this book should be mandatory reading for any graduate student working on population-level molecular data.
an excellent and timely book that should appeal to a variety of people in genetics and applied mathematics.
the authors are outstanding experts in the field, and the book is topical and timely.
Hein, Schierup and Wiuf have written the first general book on the coalescent. It is an engaging combination of clear mathematical derivation and real data examples.
There has been a dire need for a good book introducing coalescent theory to biologists. Gene Genealogies,Variation and Evolution fills this important gap this book should be mandatory reading for any graduate student working on population-level molecular data.
this book should be mandatory reading for any graduate student working on population-level molecular data.
an excellent and timely book that should appeal to a variety of people in genetics and applied mathematics.
the authors are outstanding experts in the field, and the book is topical and timely.
Hein, Schierup and Wiuf have written the first general book on the coalescent. It is an engaging combination of clear mathematical derivation and real data examples.
There has been a dire need for a good book introducing coalescent theory to biologists. Gene Genealogies,Variation and Evolution fills this important gap this book should be mandatory reading for any graduate student working on population-level molecular data.