Handbook on analyzing human genetic data: computational approaches and software

The discipline of statistical genetics is highly computational. Be it exact computational methods, simulation based, or a hybrid of the two, computational packages are indispensable tools and constant companions of researchers in thefield. This handbook is intended to provide human geneticists and other biomedical researchers with guidance on selections of appropriate computational methods and software packages for their specific genetic problems. It may also beused by students and other learners as a reference in conjunction with a moretheoretical and/or methodologically oriented text book. This book tries to strike a balance between methodological expositions and practical guidelines forsoftware selections. Wherever possible, comparisons among competing methods and software are made to highlight the relative advantages and disadvantage of the approaches so that the readers can make informed choices to best match their specific needs. Focus on computational methods and associated software Competing methods and software are compared and relative advantages and disadvantages highlighted Helps to select the appropriate methods for a particular genetic problem INDICE: Linkage analysis.- Qualitative traits.- Linkage analysis - quantitative traits.- Association studies - population based.- Association studies - family based.- Population genetics.- Haplotype structure.- Haplotype association analysis.- Monte Carlo analysis methods.- Multiple comparison/testing issues.- Disease risk estimation/analysis.- Other resources.

• ISBN: 978-3-540-69263-8
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 437
• Fecha Publicación: 01/10/2009
• Nº Volúmenes: 1
• Idioma: Inglés