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Evolutionary Genomics - Statistical and Computational Methods, Volume 1 (Hardcover, 2012 ed.)
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Evolutionary Genomics - Statistical and Computational Methods, Volume 1 (Hardcover, 2012 ed.)
Series: Methods in Molecular Biology, 855
Expected to ship within 12 - 17 working days
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Together with early theoretical work in population genetics, the
debate on sources of genetic makeup initiated by proponents of the
neutral theory made a solid contribution to the spectacular growth
in statistical methodologies for molecular evolution. Evolutionary
Genomics: Statistical and Computational Methods is intended to
bring together the more recent developments in the statistical
methodology and the challenges that followed as a result of rapidly
improving sequencing technologies. Presented by top scientists from
a variety of disciplines, the collection includes a wide spectrum
of articles encompassing theoretical works and hands-on tutorials,
as well as many reviews with key biological insight. Volume 1
includes a helpful introductory section of bioinformatician primers
followed by detailed chapters detailing genomic data assembly,
alignment, and homology inference as well as insights into genome
evolution from statistical analyses. Written in the highly
successful Methods in Molecular Biology (TM) series format, this
work provides the kind of advice on methodology and implementation
that is crucial for getting ahead in genomic data analyses.
Comprehensive and cutting-edge, Evolutionary Genomics: Statistical
and Computational Methods is a treasure chest of state-of the-art
methods to study genomic and omics data, certain to inspire both
young and experienced readers to join the interdisciplinary field
of evolutionary genomics.
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