How do we know what role a particular gene has? How do some genes control the expression of others? How do genes interact to form gene networks?
With its unique integration of genetics and molecular biology, Genetic Analysis probes fascinating questions such as these, detailing how
our understanding of key genetic phenomena can be used to understand biological systems. Opening with a brief overview of key genetic principles, model organisms, and epigenetics, the book goes on to explore the use of gene mutations and the analysis of gene expression and activity. A discussion of
the genetic structure of natural populations follows, before the interaction of genes during suppression and epistasis, how we study gene networks, and personalized genomics are considered.
Drawing on the latest experimental tools, including CRISPR-Cas9 genome editing, microarrays, RNAi
screens, and bioinformatics approaches, Genetic Analysis provides a state-of-the-art review of the field, but in a truly student-friendly manner. It uses extended case studies and text boxes to augment the narrative, taking the reader right to the forefront of contemporary research, without losing
its clarity of explanation and insight.
We are in an age where, despite knowing so much about biological systems, we are just beginning to realise how much more there is still to understand. Genetic Analysis is the ideal guide to how we can use the awesome power of molecular genetics to
further our understanding.
1. The Basis for Genetic Analysis
2. Genomes, Chromosomes, and Epigenetics
3. Model Organisms and Their Genomes
4. Identifying and Classifying Mutants
5. Connecting Phenotypes with DNA Sequences
6. Mutant Phenotypes and Gene Activity
7. Reverse Genetics: Editing genes in
yeast and mice
8. Genome Editing
9. Genome-Wide Mutant Screens
10. Gene Interactions: Suppressors and Synthetic Enhancers
11. Epistasis and Genetic Pathways
12. Pathways, Networks, and Phenotypes
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Philip Meneely is Professor of Biology at Haverford College, PA, USA.