Molecular biologists are performing increasingly large and
complicated experiments, but often have little background in data
analysis. The book is devoted to teaching the statistical and
computational techniques molecular biologists need to analyze their
data. It explains the big-picture concepts in data analysis using a
wide variety of real-world molecular biological examples such as
eQTLs, ortholog identification, motif finding, inference of
population structure, protein fold prediction and many more. The
book takes a pragmatic approach, focusing on techniques that are
based on elegant mathematics yet are the simplest to explain to
scientists with little background in computers and statistics.
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