Statistical Theory and Methods for Evolutionary Genomics
- Publisher's listprice GBP 105.00
-
50 163 Ft (47 775 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 5 016 Ft off)
- Discounted price 45 147 Ft (42 998 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
50 163 Ft
Availability
printed on demand
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher OUP Oxford
- Date of Publication 4 November 2010
- ISBN 9780199213269
- Binding Hardback
- No. of pages272 pages
- Size 248x177x19 mm
- Weight 706 g
- Language English
- Illustrations 60 black and white illustrations 0
Categories
Short description:
Summarises the statistical framework of evolutionary genomics, and illustrates how statistical modelling and testing can enhance our understanding of functional genomic evolution.
MoreLong description:
Evolutionary genomics is a relatively new research field with the ultimate goal of understanding the underlying evolutionary and genetic mechanisms for the emergence of genome complexity under changing environments. It stems from an integration of high throughput data from functional genomics, statistical modelling and bioinformatics, and the procedure of phylogeny-based analysis.
Statistical Theory and Methods for Evolutionary Genomics summarises the statistical framework of evolutionary genomics, and illustrates how statistical modelling and testing can enhance our understanding of functional genomic evolution. The book reviews the recent developments in methodology from an evolutionary perspective of genome function, and incorporates substantial examples from high throughput data in model organisms. In addition to phylogeny-based functional analysis of DNA sequences, the author includes extensive discussion on how new types of functional genomic data (e.g. microarray) can provide exciting new insights into the evolution of genome function, which can lead in turn to an understanding of the emergence of genome complexity during evolution.
Table of Contents:
Preface
Basics in Molecular Evolution
Basics in Bioinformatics and Statistics
Functional Divergence after Gene Duplication: Statistical Modeling
Functional Divergence after Gene Duplication: Applications and Others
Phylogenomic Expression Analysis between Duplicate Genes
Expression between Duplicate Genes: Genome-Wide Analysis
Tissue-Driven Hypothesis of Genomic Evolution
Gene Pleiotropy and Evolution of Protein Sequence
Modeling the Genomic Evolution of Gene Contents
Advanced Topics in Systems Biology and Network Evolution
References
Index
