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Pharmacogenetics --- Pharmacogenomics --- Biotransformation --- Drug Resistance --- Models, Genetic
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Disease Models, Animal. --- Models, Genetic. --- Schizophrenia --- Genetic aspects. --- Genetics.
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Pedigree --- Models, Genetic --- Biometry --- Genetic Linkage --- Chromosome Mapping
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Models, Genetic --- Markov Chains --- DNA --- Logistic Models --- genetics
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"An introduction to coalescent theory, which provides the foundation for molecular population genetics and genomics. Coalescent theory is the conceptual framework for studies of DNA sequence variation within species, and is the source of essential tools for making inferences about mutation, recombination, population structure and natural selection from DNA sequence data"--Provided by publisher
Genetics --- Mathematical models --- Genetics, Population --- Sequence Analysis, DNA --- Models, Genetic --- Models, Theoretical --- statistics & numerical data --- Genetics - Mathematical models --- Models, Genetic. --- Models, Theoretical. --- statistics & numerical data.
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Distribution (Probability theory) --- Genetics, Population. --- Models, Genetic. --- Probability. --- Population genetics. --- Distribution (Probability theory).
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Genetic screening --- Ovarian Neoplasms --- Ovarian Neoplasms --- Genetic Testing --- Genomics --- Models, Genetic. --- diagnosis. --- genetics. --- methods. --- methods.
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Combinatorial analysis. --- Gene Rearrangement. --- Genome. --- Genomics --- Models, Genetic. --- Translocation (Genetics) --- Mathematics. --- Data processing. --- Mathematical models.
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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? This text explores these fascinating questions, 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 microarrays, RNAi screens, and bioinformatics approaches, this book provides a state-of-the-art review of the field in a truly student-friendly manner. It uses extended case studies and text boxes to augment the narrative, taking the reader to the forefront of contemporary research with exceptional clarity.
Genetics --- Eukaryotic cells --- Genes --- Genomes --- Genetic Techniques --- Eukaryotic Cells --- Genomics --- Gene Expression Regulation --- Models, Genetic
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Genetics, Medical. --- Human genetics --- Human population genetics --- Medical genetics --- Models, Genetic. --- Pedigree. --- Probability. --- Statistical methods.
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