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Handbook on Analyzing Human Genetic Data -

Handbook on Analyzing Human Genetic Data

Computational Approaches and Software

Shili Lin, Hongyu Zhao (Herausgeber)

Buch | Softcover
XIV, 333 Seiten
2014 | 2010
Springer Berlin (Verlag)
978-3-642-42481-6 (ISBN)
CHF 249,95 inkl. MwSt
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This handbook offers professionals and researchers guidance on the selection of appropriate computational methods and software packages for specific genetic problems. The coverage features both methodological expositions and practical guidelines.

The discipline of statistical genetics is highly computational. Be it exact compu- tionalmethods,simulationbased,orahybridofthetwo,computationalpackagesare indispensable tools and constant companions of researchers in the ?eld. This ha- bookisintendedtoprovidehumangeneticistsandotherbiomedicalresearcherswith guidance on selections of appropriate computational methods and software pa- ages for their speci?c genetic problems. It may also be used by students and other learners as a reference in conjunction with a more theoretical and/or methodolo- cally oriented text book. This book tries to strike a balance between methodological expositions and practical guidelines for software selections. Wherever possible, comparisons among the competing methods and software are made to highlight the relativeadvantagesanddisadvantagesoftheapproaches,so thatthe readercanmake informed choices to best match their speci?c needs. Human genetics has been undergoing an evolution in the past several years as new knowledge and technologies are transforming the ?eld, leading to numerous new discoveriesof genes associated with complex traits such as cancer, obesity, and diabetes. Many recent genome-wide association studies employ the case-control design, where the study subjects consist of unrelated affected individuals and n- mal controls. For each individual, a large number of genetic markers are queried.

Hongyu Zhao is a Professor of Biostatistics, Statistics, and Genetics at Yale University, where he also serves as the Director of the Center for Statistical Genomics and Protoemics. His research interests include statistical genomics, computational biology, statistical proteomics, risk prediction, high dimensional data analysis, and network modeling and inference.

Population Genetics.- Haplotype Structure.- Linkage Analysis of Qualitative Traits.- Linkage Analysis of Quantitative Traits.- Markov Chain Monte Carlo Linkage Analysis Methods.- Population-Based Association Studies.- Family-Based Association Studies.- Haplotype Association Analysis.- Multiple Comparisons/Testing Issues.- Estimating the Absolute Risk of Disease Associated with Identified Mutations.- Processing Large-Scale, High-Dimension Genetic and Gene Expression Data.

Erscheint lt. Verlag 26.11.2014
Zusatzinfo XIV, 333 p.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 534 g
Themenwelt Sachbuch/Ratgeber Natur / Technik Naturführer
Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik Algebra
Medizin / Pharmazie Medizinische Fachgebiete
Studium 2. Studienabschnitt (Klinik) Humangenetik
Studium Querschnittsbereiche Epidemiologie / Med. Biometrie
Naturwissenschaften Biologie Genetik / Molekularbiologie
Schlagworte association studies • DNA • gene expression • genes • Genetics • Genome Analysis • linkage analysis • Statistical genetics
ISBN-10 3-642-42481-3 / 3642424813
ISBN-13 978-3-642-42481-6 / 9783642424816
Zustand Neuware
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