All Shops

Go to British Wildlife

6 issues per year 84 pages per issue Subscription only

British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published six times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

Subscriptions from £25 per year

Conservation Land Management

4 issues per year 44 pages per issue Subscription only

Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.

Subscriptions from £18 per year
Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Principles of Statistical Genomics

By: Shizhong Xu(Author)
443 pages, 12 colour & 34 b/w illustrations, 29 tables
Publisher: Springer-Verlag
Principles of Statistical Genomics
Click to have a closer look
Select version
  • Principles of Statistical Genomics ISBN: 9780387708065 Hardback Feb 2008 Usually dispatched within 1-2 weeks
    £74.99
    #201942
Selected version: £74.99
About this book Contents Customer reviews Related titles

About this book

Statistical genomics is a rapidly developing field, with more and more people involved in this area. However, a lack of synthetic reference books and textbooks in statistical genomics has become a major hurdle on the development of the field. Although many books have been published recently in bioinformatics, most of them emphasize DNA sequence analysis under a deterministic approach.

Principles of Statistical Genomics synthesizes the state-of-the-art statistical methodologies (stochastic approaches) applied to genome study. It facilitates understanding of the statistical models and methods behind the major bioinformatics software packages, which will help researchers choose the optimal algorithm to analyze their data and better interpret the results of their analyses. Understanding existing statistical models and algorithms assists researchers to develop improved statistical methods to extract maximum information from their data.

Resourceful and easy to use, Principles of Statistical Genomics is a comprehensive reference for researchers and graduate students studying statistical genomics.

Contents

Part I Genetic Linkage Map
1 Map Functions
2 Recombination Fraction
3 Genetic Map Construction
4 Multipoint Analysis of Mendelian Loci

Part II Analysis of Quantitative Traits
5 Basic Concepts of Quantitative Genetics
6 Major Gene Detection
7 Segregation Analysis
8 Genome Scanning for Quantitative Trait Loci
9 Interval Mapping
10 Interval Mapping for Ordinal Traits
11 Mapping Segregation Distortion Loci
12 QTL Mapping in Other Populations
13 Random Model Approach to QTL Mapping
14 Mapping QTL for Multiple Traits
15 Bayesian Multiple QTL Mapping
16 Empirical Bayesian QTL Mapping

Part III Microarray Data Analysis
17 Microarray Differential Expression Analysis
18 Hierarchical Clustering of Microarray Data
19 Model-Based Clustering of Microarray Data
20 Gene Specific Analysis of Variances
21 Factor Analysis of Microarray Data
22 Classification of Tissue Samples Using Microarrays
23 Time-Course Microarray Data Analysis
24 Quantitative Trait Associated Microarray Data Analysis
25 Mapping Expression Quantitative Trait Loci

Customer Reviews

By: Shizhong Xu(Author)
443 pages, 12 colour & 34 b/w illustrations, 29 tables
Publisher: Springer-Verlag
Current promotions
Best of Winter 2018Harper CollinsOrder your free copy of our 2018 equipment catalogueBritish Wildlife