|
Showing 1 - 14 of
14 matches in All Departments
The aim of this volume is to make computer programs for analyzing
human genetic data more easily accessible to the
beginner.Statistical Human Genetics: Methods and Protocols, Second
Edition provides updated and new chapters detailing genetic terms,
analysis software, and how to interpret the program outputs.
Written in the highly successful Methods in Molecular Biology
series format, the chapters include introductions to their
respective topics, step-by-step instructions, and tips on
troubleshooting and avoiding known pitfalls. The purpose of
Statistical Human Genetics: Methods and Protocols, Second Edition
is to ensure successful and meaningful results in the fast-growing
field of genetic epidemiology.
Recent advances in genetics over the last quarter of a century,
especially in molecular techniques, have dramatically reduced the
cost of determining genetic markers and hence opened up a field of
research that is increasingly helping to detect, prevent and/or
cure many diseases that afflict humans. In Statistical Human
Genetics: Methods and Protocols expert researchers in the field
describe statistical methods and computer programs in the detail
necessary to make them more easily accessible to the beginner
analyzing data. Written in the highly successful Methods in
Molecular Biology (TM) series format, with examples of running the
programs and interpreting the program outputs, the chapters include
the kind of detailed description and implementation advice that is
crucial for getting optimal results from human genetic data
collected in the laboratory. Thorough and as much as possible
intuitive, Statistical Human Genetics: Methods and Protocols aids
scientists in understanding the computer programs and analytical
procedures they need to use.
Analysis of Genetic Association Studies is both a graduate level
textbook in statistical genetics and genetic epidemiology, and a
reference book for the analysis of genetic association studies.
Students, researchers, and professionals will find the topics
introduced in Analysis of Genetic Association Studies particularly
relevant. The book is applicable to the study of statistics,
biostatistics, genetics and genetic epidemiology. In addition to
providing derivations, the book uses real examples and simulations
to illustrate step-by-step applications. Introductory chapters on
probability and genetic epidemiology terminology provide the reader
with necessary background knowledge. The organization of this work
allows for both casual reference and close study.
Recent advances in genetics over the last quarter of a century,
especially in molecular techniques, have dramatically reduced the
cost of determining genetic markers and hence opened up a field of
research that is increasingly helping to detect, prevent and/or
cure many diseases that afflict humans. In Statistical Human
Genetics: Methods and Protocols expert researchers in the field
describe statistical methods and computer programs in the detail
necessary to make them more easily accessible to the beginner
analyzing data. Written in the highly successful Methods in
Molecular Biology (TM) series format, with examples of running the
programs and interpreting the program outputs, the chapters include
the kind of detailed description and implementation advice that is
crucial for getting optimal results from human genetic data
collected in the laboratory. Thorough and as much as possible
intuitive, Statistical Human Genetics: Methods and Protocols aids
scientists in understanding the computer programs and analytical
procedures they need to use.
Analysis of Genetic Association Studies is both a graduate level
textbook in statistical genetics and genetic epidemiology, and a
reference book for the analysis of genetic association studies.
Students, researchers, and professionals will find the topics
introduced in Analysis of Genetic Association Studies particularly
relevant. The book is applicable to the study of statistics,
biostatistics, genetics and genetic epidemiology. In addition to
providing derivations, the book uses real examples and simulations
to illustrate step-by-step applications. Introductory chapters on
probability and genetic epidemiology terminology provide the reader
with necessary background knowledge. The organization of this work
allows for both casual reference and close study.
|
|