This book summarizes the knowledge in the field of methods to
identify signatures of natural selection. A number of mathematical
models and methods have been designed to identify the fingerprints
of natural selection on genes and genomes. Such methods are
provided in a simple and direct way so that students of different
disciplines can navigate through molecular fitness landscapes using
complex methods with a basic knowledge on bioinformatics. A
collection of the main methods to detect selection in
protein-coding genes and amino acid sequences is given at different
levels of complexity, from nucleotides to proteins and molecular
networks. The importance of identifying natural selection in genes
and genomes through the methods described in this book transcends
the bioinformatics and computational biology fields, presenting
applications for experimental biologists in a straightforward and
understandable way.
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