Handbook on Analyzing Human Genetic Data

. Ed(s): Lin, Shili; Zhao, Hongyu

ISBN 10: 3642424813 / ISBN 13: 9783642424816

Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2014

Beschreibung

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. Editor(s): Lin, Shili; Zhao, Hongyu. Num Pages: 347 pages, colour illustrations, bibliography. BIC Classification: MFN; PBT; PBW; PSA; PSD. Category: (G) General (US: Trade). Dimension: 234 x 156 x 18. Weight in Grams: 485. . 2014. Paperback. . . . . Books ship from the US and Ireland.

Bestandsnummer des Verkäufers V9783642424816

Bibliografische Details

• Titel: Handbook on Analyzing Human Genetic Data
• Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Erscheinungsjahr: 2014
• Sprache: Englisch
• ISBN-10: 3642424813
• ISBN-13: 9783642424816
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

This handbook provides 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 be used by students and other learners as a reference in conjunction with a more theoretical and/or methodologically oriented text book. Coverage strikes a balance between methodological expositions and practical guidelines for software selections. Wherever possible, comparisons among competing methods and software are made to highlight the relative advantages and disadvantage of the approaches so that readers can make informed choices to best match their specific needs.

Von der hinteren Coverseite

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 the field. 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 be used by students and other learners as a reference in conjunction with a more theoretical and/or methodologically oriented text book. This book tries to strike a balance between methodological expositions and practical guidelines for software 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.