Sinossi
The first book to comprehensively cover the field of systems genetics, gathering contributions from leading scientists.
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Informazioni sugli autori
Florian Markowetz is a Group Leader at Cancer Research UK's Cambridge Research Institute. His research is concerned with developing statistical and mathematical models of complex biological systems and analysing large-scale molecular data. His research interests range from the analysis of molecular clinical data to inference of cellular networks from high-throughput gene perturbation screens and integration of heterogeneous data sources using machines learning techniques and probabilistic graphic models.
Michael Boutros is a group leader at the German Cancer Research Centre (DKFZ) in Heidelberg where he heads the Division of Signalling and Functional Genomics. He also holds a Professorship at the University of Heidelberg. His research focuses on the systematic dissection signalling pathways in Drosophila and mammalian cells, which are important during development and cancer. He attempts to define key components of signalling pathways, discovering interaction between pathways, and characterisation of signalling networks under normal and perturbed conditions.
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Systems Genetics (Hardcover)
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Cambridge University Press, Cambridge, 2015
ISBN 10: 1107013844
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Hardcover. Condizione: new. Hardcover. Whereas genetic studies have traditionally focused on explaining heritance of single traits and their phenotypes, recent technological advances have made it possible to comprehensively dissect the genetic architecture of complex traits and quantify how genes interact to shape phenotypes. This exciting new area has been termed systems genetics and is born out of a synthesis of multiple fields, integrating a range of approaches and exploiting our increased ability to obtain quantitative and detailed measurements on a broad spectrum of phenotypes. Gathering the contributions of leading scientists, both computational and experimental, this book shows how experimental perturbations can help us to understand the link between genotype and phenotype. A snapshot of current research activity and state-of-the-art approaches to systems genetics are provided, including work from model organisms such as Saccharomyces cerevisiae and Drosophila melanogaster, as well as from human studies. Gathering contributions from leading scientists, both computational and experimental, this book shows how experimental perturbations can help us to understand the link between genotype and phenotype. Researchers and graduate students in genetics, functional genomics, bioinformatics, computational biology, systems biology and biotechnology will find this a valuable and timely tool. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781107013841
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Hardcover. Condizione: new. Hardcover. Whereas genetic studies have traditionally focused on explaining heritance of single traits and their phenotypes, recent technological advances have made it possible to comprehensively dissect the genetic architecture of complex traits and quantify how genes interact to shape phenotypes. This exciting new area has been termed systems genetics and is born out of a synthesis of multiple fields, integrating a range of approaches and exploiting our increased ability to obtain quantitative and detailed measurements on a broad spectrum of phenotypes. Gathering the contributions of leading scientists, both computational and experimental, this book shows how experimental perturbations can help us to understand the link between genotype and phenotype. A snapshot of current research activity and state-of-the-art approaches to systems genetics are provided, including work from model organisms such as Saccharomyces cerevisiae and Drosophila melanogaster, as well as from human studies. Gathering contributions from leading scientists, both computational and experimental, this book shows how experimental perturbations can help us to understand the link between genotype and phenotype. Researchers and graduate students in genetics, functional genomics, bioinformatics, computational biology, systems biology and biotechnology will find this a valuable and timely tool. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781107013841
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Hardcover. Condizione: new. Hardcover. Whereas genetic studies have traditionally focused on explaining heritance of single traits and their phenotypes, recent technological advances have made it possible to comprehensively dissect the genetic architecture of complex traits and quantify how genes interact to shape phenotypes. This exciting new area has been termed systems genetics and is born out of a synthesis of multiple fields, integrating a range of approaches and exploiting our increased ability to obtain quantitative and detailed measurements on a broad spectrum of phenotypes. Gathering the contributions of leading scientists, both computational and experimental, this book shows how experimental perturbations can help us to understand the link between genotype and phenotype. A snapshot of current research activity and state-of-the-art approaches to systems genetics are provided, including work from model organisms such as Saccharomyces cerevisiae and Drosophila melanogaster, as well as from human studies. Gathering contributions from leading scientists, both computational and experimental, this book shows how experimental perturbations can help us to understand the link between genotype and phenotype. Researchers and graduate students in genetics, functional genomics, bioinformatics, computational biology, systems biology and biotechnology will find this a valuable and timely tool. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9781107013841
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Buch. Condizione: Neu. Neuware - The first book to comprehensively cover the field of systems genetics, gathering contributions from leading scientists. Codice articolo 9781107013841
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