Handbook statistical genomics (19 risultati)

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Taschenbuch. Condizione: Neu. Neuware - Genomic data doesn't interpret itself - and the researchers who master the statistics behind it are the ones driving discovery.The Handbook of Statistical Genomics is the comprehensive quantitative reference for biostatisticians, computational biologists, geneticists, and data scientists operating in an era defined by whole-genome sequencing, population-scale biobanks, and multi-omics integration. This is the methodological backbone your research has been missing.What You'll Master: - Probability frameworks, linkage analysis, and population stratification correction for genetic association studies- GWAS design, quality control pipelines, and polygenic risk score construction- Bayesian approaches to variant interpretation and rare variant analysis- Epistasis modeling, haplotype reconstruction, and admixed population genomics- Machine learning and deep learning architectures applied to sequence and omics data- Dimensionality reduction strategies for high-dimensional genomic datasets- Reproducible bioinformatics pipelines using PLINK, GATK, BOLT-LMM, and R/Bioconductor- Cutting-edge chapters on single-cell genomics statistics, spatial transcriptomics, and EHR-genomic integrationEvery method is presented with an emphasis on reproducibility, transparency, and real-world application - so what you learn here translates directly into publication-quality research.The most rigorous genomic research starts with the most rigorous statistical foundation.Secure your copy today and bring the quantitative precision your genomics work deserves. …

Buch. Condizione: Neu. Handbook of Statistical Genomics | David J Balding (u. a.) | Buch | Englisch | 2019 | Wiley | EAN 9781119429142 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

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Buch. Condizione: Neu. Neuware - A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. - Provides much-needed, timely coverage of new developments in this expanding area of study - Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics - Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics - Extensive coverage of human genetic epidemiology, including ethical aspects - Edited by one of the leading experts in the field along with rising stars as his co-editors - Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.…

Buch. Condizione: Neu. Neuware -A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. - Provides much-needed, timely coverage of new developments in this expanding area of study - Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics - Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics - Extensive coverage of human genetic epidemiology, including ethical aspects - Edited by one of the leading experts in the field along with rising stars as his co-editors - Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.…

Buch. Condizione: Neu. Neuware -A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. - Provides much-needed, timely coverage of new developments in this expanding area of study - Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics - Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics - Extensive coverage of human genetic epidemiology, including ethical aspects - Edited by one of the leading experts in the field along with rising stars as his co-editors - Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics. 1216 pp. Englisch.…

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Paperback. Condizione: new. Paperback. Genomic data doesn't interpret itself - and the researchers who master the statistics behind it are the ones driving discovery.The Handbook of Statistical Genomics is the comprehensive quantitative reference for biostatisticians, computational biologists, geneticists, and data scientists operating in an era defined by whole-genome sequencing, population-scale biobanks, and multi-omics integration. This is the methodological backbone your research has been missing.What You'll Master: Probability frameworks, linkage analysis, and population stratification correction for genetic association studiesGWAS design, quality control pipelines, and polygenic risk score constructionBayesian approaches to variant interpretation and rare variant analysisEpistasis modeling, haplotype reconstruction, and admixed population genomicsMachine learning and deep learning architectures applied to sequence and omics dataDimensionality reduction strategies for high-dimensional genomic datasetsReproducible bioinformatics pipelines using PLINK, GATK, BOLT-LMM, and R/BioconductorCutting-edge chapters on single-cell genomics statistics, spatial transcriptomics, and EHR-genomic integrationEvery method is presented with an emphasis on reproducibility, transparency, and real-world application - so what you learn here translates directly into publication-quality research.The most rigorous genomic research starts with the most rigorous statistical foundation.Secure your copy today and bring the quantitative precision your genomics work deserves. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

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Paperback. Condizione: new. Paperback. Genomic data doesn't interpret itself - and the researchers who master the statistics behind it are the ones driving discovery.The Handbook of Statistical Genomics is the comprehensive quantitative reference for biostatisticians, computational biologists, geneticists, and data scientists operating in an era defined by whole-genome sequencing, population-scale biobanks, and multi-omics integration. This is the methodological backbone your research has been missing.What You'll Master: Probability frameworks, linkage analysis, and population stratification correction for genetic association studiesGWAS design, quality control pipelines, and polygenic risk score constructionBayesian approaches to variant interpretation and rare variant analysisEpistasis modeling, haplotype reconstruction, and admixed population genomicsMachine learning and deep learning architectures applied to sequence and omics dataDimensionality reduction strategies for high-dimensional genomic datasetsReproducible bioinformatics pipelines using PLINK, GATK, BOLT-LMM, and R/BioconductorCutting-edge chapters on single-cell genomics statistics, spatial transcriptomics, and EHR-genomic integrationEvery method is presented with an emphasis on reproducibility, transparency, and real-world application - so what you learn here translates directly into publication-quality research.The most rigorous genomic research starts with the most rigorous statistical foundation.Secure your copy today and bring the quantitative precision your genomics work deserves. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorDAVID J. BALDING, PhD, is Professor of Statistical Genetics at the University of Melbourne and holds an honorary appointment at University College London. IDA MOLTKE, PhD, is an Assistant Professo. …