Bioinformatics for Geneticists is a one-stop reference book which enables all geneticists to improve the efficiency of their research.
Features of the Second Edition:
- Illustrates the value of bioinformatics as a constantly evolving avenue into novel approaches to study genetics
- The only book specifically addressing the bioinformatics needs of geneticists
- More than 50% of chapters are completely new contributions
- Dramatically revised content in core areas of gene and genomic characterisation, pathway analysis, SNP functional analysis and statistical genetics
- Focused on freely available tools and web-based approaches to bioinformatics analysis, suitable for novices and experienced researchers alike
Contents
Section I: An Introduction to Bioinformatics for the Geneticist
- Bioinformatics challenges for the geneticist
- Managing and manipulating genetic data
Section II: Mastering Genes, Genomes and Genetic variation Data
- The HapMap – A haplotype map of the human genome
- Assembling a view of the human genome
- Finding, delineating and analysing genes
- Comparative genomics
Section III: Bioinformatics for Genetic Study Design and Analysis
- Identifying mutations in single gene disorders
- From Genome Scan Culprit Gene
- Integrating Genetics, Genomics and Epigenomics to Identify
Disease Genes
- Tools for statistical genetics
Section IV: Moving from Associated Genes to Disease Alleles
- Predictive functional analysis of polymorphisms: An overview
- Functional in silico analysis of gene regulatory polymorphism
- Amino-acid properties and consequences of substitutions
- Non-coding RNA bioinformatics
Section V: Analysis at the Genetic and Genomic Data Interface
- What are microarrays?
- Combining quantitative trait and gene-expression data
- Bioinformatics and cancer genetics
- Needle in a haystack? dealing with 500 SNP genome scans
- A bioinformatics perspective on genetics in drug discovery and development
Index
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