Genetic Analysis
Genes, Genomes, and Networks in Eukaryotes
Seiten
2020
|
3rd Revised edition
Oxford University Press (Verlag)
978-0-19-880990-6 (ISBN)
Oxford University Press (Verlag)
978-0-19-880990-6 (ISBN)
Genetic Analysis applies the combined power of molecular biology, genetics, and genomics to explore how the priniciples of genetics can be used as analytical tools to solve biological problems.
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 interactions of genes during suppression, synthetic enhancement, and epistasis follows, which is then expanded into a consideration of genetic networks and personal genomics.
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.
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 interactions of genes during suppression, synthetic enhancement, and epistasis follows, which is then expanded into a consideration of genetic networks and personal genomics.
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.
Philip Meneely, Professor of Biology, Department of Biology, Haverford College, PA, USA
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
Erscheinungsdatum | 03.01.2020 |
---|---|
Verlagsort | Oxford |
Sprache | englisch |
Maße | 194 x 261 mm |
Gewicht | 1062 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Informatik ► Weitere Themen ► Bioinformatik | |
Naturwissenschaften ► Biologie ► Allgemeines / Lexika | |
Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
ISBN-10 | 0-19-880990-5 / 0198809905 |
ISBN-13 | 978-0-19-880990-6 / 9780198809906 |
Zustand | Neuware |
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