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Population Genetics with R - An Introduction for Life Scientists (Hardcover)
Loot Price: R3,017
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Population Genetics with R - An Introduction for Life Scientists (Hardcover)
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Population genetics is an inherently quantitative discipline, yet
often focuses upon abstract concepts which can be difficult to
conceptualize and appropriately visualize at first glance. This
book focuses on applying the hugely popular R software specifically
to the field, offering an accessible, step-by-step guide to
tackling the challenges of achieving effective data interpretation
and summary. The authors adopt an engaging "learning by doing"
approach that will enable readers to develop an intuitive
understanding of key population genetics concepts through the use
of R. Beginning with the groundwork of installing and using R
(including CRAN and the RStudio IDE), the book works through the
use of basic commands for data manipulation. An introduction to
basic terminology in population genetics follows, clearly
explaining how these fundamental assumptions can provide insights
and form basic inferences for real populations. The focus then
moves onto statistical tests including writing and running
algorithms as functions. Subsequent chapters examine genetic
variation, adaptation, and natural selection as well as different
approaches to population differences. Importantly, the accompanying
set of practical exercises demonstrate that implementing all of
these concepts via programming can actually help greatly in
understanding them, even if they may at first seem insurmountably
complex. Finally, this accessible textbook points the way forwards
to other key concepts that are important to understanding modern
day population genetics research (in particular coalescent theory)
and offers the reader useful launching points for further learning.
Population Genetics with R is aimed at students ranging from
undergraduate to postgraduate level in the fields of population
genetics, ecology, evolutionary biology, conservation genetics,
computational biology, and biostatistics.
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