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This book brings together the two disparate worlds of computational
text analysis and biology and presents some of the latest methods
and applications to proteomics, sequence analysis and gene
expression data. Modern genomics generates large and comprehensive
data sets but their interpretation requires an understanding of a
vast number of genes, their complex functions, and interactions.
Keeping up with the literature on a single gene is a challenge
itself-for thousands of genes it is simply impossible.
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