"An important problem in computational biology is identifying short
DNA sequences (mathematically, 'words') associated with a biological
function. One approach consists of determining whether a particular
word is simply random or is of statistical significance, for example,
because of its frequency or location. This book introduces the
mathematical and statistical ideas used in solving this so-called
exceptional word problem. It begins with a detailed description of
the principal models used in sequence analysis: Markovian models are
central here and capture compositional information on the sequence
being analysed. There follows an introduction to several statistical
methods that are used for finding exceptional words with respect to
the model used. The second half of the book is illustrated with
numerous examples provided from the analysis of bacterial genomes,
making this a practical guide for users facing a real situation and
needing to make an adequate procedure choice."--BOOK JACKET.
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