This thorough book covers the most recent proteomics techniques,
databases, bioinformatics tools, and computational approaches that
are used for the identification and functional annotation of
proteins and their structure. The most recent proteomic resources
widely used in the biomedical scientific community for storage and
dissemination of data are discussed. In addition, specific MS/MS
spectrum similarity scoring functions and their application in the
field of proteomics, statistical evaluation of labeled comparative
proteomics using permutation testing, and methods of phylogenetic
analysis using MS data are also described in detail. Written for
the highly successful Methods in Molecular Biology series, chapters
contain the kind of detail and key implementation advice to ensure
successful results. Authoritative and cutting-edge, Proteome
Bioinformatics serves as a useful resource for researchers who are
beginners as well as advanced investigators in the field of
proteomics.
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