{"product_id":"handbook-of-statistical-genomics-hardback-9781119429142","title":"Handbook of Statistical Genomics (Hardback) 9781119429142","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eHandbook of Statistical Genomics\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eDavid J. Balding (Edited by), DJ Balding (Author), Ida Moltke (Edited by), John Marioni (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119429142, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 6 September 2019\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e1216 pages\u003cbr\u003e26.2 x 18.8 x 5.8 cm, 2.608 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eA timely update of a highly popular handbook on statistical genomics\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThis 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 \u003ci\u003ethe\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eThe Handbook of Statistical Genomics\u003c\/i\u003e 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eProvides much-needed, timely coverage of new developments in this expanding area of study\u003c\/li\u003e \u003cli\u003eNumerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics\u003c\/li\u003e \u003cli\u003eDetailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics\u003c\/li\u003e \u003cli\u003eExtensive coverage of human genetic epidemiology, including ethical aspects\u003c\/li\u003e \u003cli\u003eEdited by one of the leading experts in the field along with rising stars as his co-editors\u003c\/li\u003e \u003cli\u003eChapter authors are world-renowned experts in the field, and newly emerging leaders.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eThe Handbook of Statistical Genomics\u003c\/i\u003e is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eVolume 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eList of Contributors xxiii\u003c\/p\u003e \u003cp\u003eEditors’ Preface to the Fourth Edition xxvii\u003c\/p\u003e \u003cp\u003eGlossary xxix\u003c\/p\u003e \u003cp\u003eAbbreviations and Acronyms xxxix\u003c\/p\u003e \u003cp\u003e1 Statistical Modeling and Inference in Genetics 1\u003cbr\u003e\u003ci\u003eDaniel Wegmann and Christoph Leuenberger\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Linkage Disequilibrium, Recombination and Haplotype Structure 51\u003cbr\u003e\u003ci\u003eGil McVean and Jerome Kelleher\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 Haplotype Estimation and Genotype Imputation 87\u003cbr\u003e\u003ci\u003eJonathan Marchini\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 Mathematical Models in Population Genetics 115\u003cbr\u003e\u003ci\u003eNick Barton and Alison Etheridge\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 Coalescent Theory 145\u003cbr\u003e\u003ci\u003eMagnus Nordborg\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Phylogeny Estimation Using Likelihood-Based Methods 177\u003cbr\u003e\u003ci\u003eJohn P. Huelsenbeck\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 The Multispecies Coalescent 219\u003cbr\u003e\u003ci\u003eLaura Kubatko\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 Population Structure, Demography and Recent Admixture 247\u003cbr\u003e\u003ci\u003eG. Hellenthal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Statistical Methods to Detect Archaic Admixture and Identify Introgressed Sequences 275\u003cbr\u003e\u003ci\u003eLiming Li and Joshua M. Akey\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10 Population Genomic Analyses of DNA from Ancient Remains 295\u003cbr\u003e\u003ci\u003eTorsten Gunther and Mattias Jakobsson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 Sequence Covariation Analysis in Biological Polymers 325\u003cbr\u003e\u003ci\u003eWilliam R. Taylor, Shaun Kandathil, and David T. Jones\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12 Probabilistic Models for the Study of Protein Evolution 347\u003cbr\u003e\u003ci\u003eUmberto Perron, Iain H. Moal, Jeffrey L. Thorne, and Nick Goldman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13 Adaptive Molecular Evolution 369\u003cbr\u003e\u003ci\u003eZiheng Yang\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14 Detecting Natural Selection 397\u003cbr\u003e\u003ci\u003eAaron J. Stern and Rasmus Nielsen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15 Evolutionary Quantitative Genetics 421\u003cbr\u003e\u003ci\u003eBruce Walsh and Michael B. Morrissey\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16 Conservation Genetics 457\u003cbr\u003e\u003ci\u003eMark Beaumont and Jinliang Wang\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17 Statistical Methods for Plant Breeding 501\u003cbr\u003e\u003ci\u003eIan Mackay, Hans-Peter Piepho, and Antonio Augusto Franco Garcia\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18 Forensic Genetics 531\u003cbr\u003e\u003ci\u003eB.S.Weir\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eVolume 2\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e19 Ethical Issues in Statistical Genetics 551\u003cbr\u003e\u003ci\u003eSusan E. Wallace and Richard Ashcroft\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20 Descent-Based Gene Mapping in Pedigrees and Populations 573\u003cbr\u003e\u003ci\u003eE.A. Thompson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e21 Genome-Wide Association Studies 597\u003cbr\u003e\u003ci\u003eAndrew P. Morris and Lon R. Cardon\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e22 Replication and Meta-analysis of Genome-Wide Association Studies 631\u003cbr\u003e\u003ci\u003eFrank Dudbridge and Paul Newcombe\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e23 Inferring Causal Relationships between Risk Factors and Outcomes Using Genetic Variation 651\u003cbr\u003e\u003ci\u003eStephen Burgess, Christopher N. Foley, and Verena Zuber\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e24 Improving Genetic Association Analysis through Integration of Functional Annotations of the Human Genome 679\u003cbr\u003e\u003ci\u003eQiongshi Lu and Hongyu Zhao\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e25 Inferring Causal Associations between Genes and Disease via the Mapping of Expression Quantitative Trait Loci 697\u003cbr\u003e\u003ci\u003eSolveig K. Sieberts and Eric E. Schadt\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e26 Statistical Methods for Single-Cell RNA-Sequencing 735\u003cbr\u003e\u003ci\u003eTallulah S. Andrews, Vladimir Yu. Kiselev, and Martin Hemberg\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e27 Variant Interpretation and Genomic Medicine 761\u003cbr\u003e\u003ci\u003eK. Carss, D. Goldstein, V. Aggarwal, and S. Petrovski\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e28 Prediction of Phenotype from DNA Variants 799\u003cbr\u003e\u003ci\u003eM.E. Goddard, T.H.E. Meuwissen, and H.D. Daetwyler\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e29 Disease Risk Models 815\u003cbr\u003e\u003ci\u003eAllison Meisner and Nilanjan Chatterjee\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e30 Bayesian Methods for Gene Expression Analysis 843\u003cbr\u003e\u003ci\u003eAlex Lewin, Leonardo Bottolo, and Sylvia Richardson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e31 Modelling Gene Expression Dynamics with Gaussian Process Inference 879\u003cbr\u003e\u003ci\u003eMagnus Rattray, Jing Yang, Sumon Ahmed, and Alexis Boukouvalas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e32 Modelling Non-homogeneous Dynamic Bayesian Networks with Piecewise Linear Regression Models 899\u003cbr\u003e\u003ci\u003eMarco Grzegorczyk and Dirk Husmeier\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e33 DNA Methylation 933\u003cbr\u003e\u003ci\u003eKasper D. Hansen, Kimberly D. Siegmund, and Shili Lin\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e34 Statistical Methods in Metabolomics 949\u003cbr\u003e\u003ci\u003eTimothy M.D. Ebbels, Maria De Iorio, and David A. Stephens\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e35 Statistical and Computational Methods in Microbiome and Metagenomics 977\u003cbr\u003e\u003ci\u003eHongzhe Li\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e36 Bacterial Population Genomics 997\u003cbr\u003e\u003ci\u003eJukka Corander, Nicholas J. Croucher, Simon R. Harris, John A. Lees, and Gerry Tonkin-Hill\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eReference Author Index 1021\u003c\/p\u003e \u003cp\u003eSubject Index 1109\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52166121029912,"sku":"9781119429142","price":234.37,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781119429142.jpg?v=1781102245","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/handbook-of-statistical-genomics-hardback-9781119429142","provider":"Freshly Printed Books","version":"1.0","type":"link"}