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Multidimensional chromatography: Validation and efficient fishing for biomarkers and fractions containing them using the VisualCockpit software package
Author(s) -
Cumme Gerhard A.,
Kreusch Stefan,
Nagel Matthias,
Rhode Heidrun
Publication year - 2007
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200700453
Subject(s) - reproducibility , software , chromatography , reliability (semiconductor) , r package , computer science , software package , selection (genetic algorithm) , biomarker , data mining , computational biology , chemistry , biology , artificial intelligence , biochemistry , computational science , power (physics) , physics , programming language , quantum mechanics
2‐D native LC yields thousands of fractions especially when applied to sera of different origin. Checking reproducibility of repeated separation of the same serum or searching for biomarker candidates and fractions containing them requires finding, selection, and comparison of interesting data subsets out of huge data volumes. An innovative software package is applied that markedly enhances simplicity, velocity, and reliability of (i) check of reproducibility of the separation method and (ii) analysis of proteomes pertaining to different disease states.