or
Sign in to turn on 1-Click ordering.
or
Amazon Prime free trial required. Sign up when you check out. Learn more
More Buying Choices
Have one to sell? Sell yours here
or
Get a £16.00 Amazon.co.uk Gift Card
Computational Molecular Evolution (Oxford Series in Ecology and Evolution)
 
 
Share your own customer images
Search inside this book
Tell the Publisher!
I’d like to read this book on Kindle

Don't have a Kindle? Get your Kindle here, or download a FREE Kindle Reading App.

Computational Molecular Evolution (Oxford Series in Ecology and Evolution) [Paperback]

Ziheng Yang (Author)
5.0 out of 5 stars  See all reviews (1 customer review)
RRP: £39.95
Price: £35.15 & this item Delivered FREE in the UK with Super Saver Delivery. See details and conditions
You Save: £4.80 (12%)
o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o
In stock.
Dispatched from and sold by Amazon.co.uk. Gift-wrap available.
Only 3 left in stock--order soon (more on the way).
Want guaranteed delivery by Thursday, June 7? Choose Express delivery at checkout. See Details

Formats

 Amazon Price New from Used from
Hardcover £80.00   -- --
Paperback £35.15   -- --
Trade In this Item for up to £16.00
Get an extra £5 when you trade in books worth £10 or more until June 30, 2012. Trade in Computational Molecular Evolution (Oxford Series in Ecology and Evolution) for an Amazon.co.uk gift card of up to £16.00, which you can then spend on millions of items across the site. Trade-in values may vary (terms apply). Find more products eligible for trade-in.

Customers Who Bought This Item Also Bought

Product details

  • Paperback: 384 pages
  • Publisher: OUP Oxford (5 Oct 2006)
  • Language English
  • ISBN-10: 0198567022
  • ISBN-13: 978-0198567028
  • Product Dimensions: 23.1 x 16.1 x 2.1 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 586,544 in Books (See Top 100 in Books)

    •  Would you like to update product info or give feedback on images?

  • See Complete Table of Contents

More About the Author

Ziheng Yang
Discover books, learn about writers, and more.

› Visit Amazon's Ziheng Yang Page

Product Description

Review

What sets this books apart is the authority and thoughtfulness with which it is written, the thorough coverage of the relevant literature, and the great care that has been taken in the computational examples to compare different methods on the same set of data, and to present the results clearly. It will be an invaluable resource both for new graduate students and established researchers. It will be a major source for insight and enormously helpful for anyone who wants to understand molecular phylogenies. (The Quarterly Review of Biology )

Product Description

The field of molecular evolution has experienced explosive growth in recent years due to the rapid accumulation of genetic sequence data, continuous improvements to computer hardware and software, and the development of sophisticated analytical methods. The increasing availability of large genomic data sets requires powerful statistical methods to analyse and interpret them, generating both computational and conceptual challenges for the field. Computational Molecular Evolution provides an up-to-date and comprehensive coverage of modern statistical and computational methods used in molecular evolutionary analysis, such as maximum likelihood and Bayesian statistics. Yang describes the models, methods and algorithms that are most useful for analysing the ever-increasing supply of molecular sequence data, with a view to furthering our understanding of the evolution of genes and genomes. The book emphasizes essential concepts rather than mathematical proofs. It includes detailed derivations and implementation details, as well as numerous illustrations, worked examples, and exercises. It will be of relevance and use to students and professional researchers (both empiricists and theoreticians) in the fields of molecular phylogenetics, evolutionary biology, population genetics, mathematics, statistics and computer science. Biologists who have used phylogenetic software programs to analyze their own data will find the book particularly rewarding, although it should appeal to anyone seeking an authoritative overview of this exciting area of computational biology.
See all Product Description
Inside This Book (Learn More)
First Sentence
Calculation of the distance between two sequences is perhaps the simplest phylogenetic analysis, yet it is important for two reasons. Read the first page
Explore More
Concordance
Browse Sample Pages
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Search inside this book:

Tag this product

 (What's this?)
Think of a tag as a keyword or label you consider is strongly related to this product.
Tags will help all customers organise and find favourite items.
Your tags: Add your first tag
 
See most popular tags

Sell a Digital Version of This Book in the Kindle Store

If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store. Learn more

Customer Reviews

4 star
0
3 star
0
2 star
0
1 star
0
Most Helpful Customer Reviews
4 of 4 people found the following review helpful
Format:Paperback
This book provides an excellent theoretical introduction all of the major concepts and models used in phylogenetics. It considers the more recognized models implemented in all the standard software packages such as PHYLIP, PAUP and PAML as well as considering more recent developments in Bayesian analysis implemented in software such as BEAST and MrBayes. Anyone with a good grounding in calculus should be able to follow this book without any problems, although i wouldn't recommend it for pure biologists. The book " Bioinformatics and Molecular Evolution" by Paul Higgs and Teresa Attwood is a much more gentle introduction to almost all the same material, but without going overboard on the mathematics.

What i also like about Yang Ziheng's book is his style of writing. I think there are few scientific writers who can express themselves with such clarity, something that comes through in his journal publications as well.
Comment | 
Was this review helpful to you?
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:  1 review
1 of 1 people found the following review helpful
Excellent yet dense! 24 Oct 2010
By Addie A. Evans - Published on Amazon.com
Format:Paperback
This book is written eloquently, although it is quite dense. I could only read a few pages at a time and then go back to introductory material to learn about all the concepts he referred to in a few sentences.

But that is just because I am a beginner. For anyone who is already very knowledge about the preliminary material, this book is an excellent compilation of advanced methods for computational molecular evolution.
Search Customer Reviews
Only search this product's reviews

Customer Discussions

This product's forum
Discussion Replies Latest Post
No discussions yet

Ask questions, Share opinions, Gain insight
Start a new discussion
Topic:
First post:
Prompts for sign-in
 

Search Customer Discussions
Search all Amazon discussions
   

Listmania!

Create a Listmania! list

Look for similar items by category

Look for similar items by subject

















i.e., each product must be in subject 1 AND subject 2 AND ...

Feedback


Amazon.co.uk Privacy Statement Amazon.co.uk Delivery Information Amazon.co.uk Returns & Exchanges