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Proteomics approaches to biomarker detection
Author(s) -
Ming Zhou,
Thomas P. Conrads,
Timothy D. Veenstra
Publication year - 2005
Publication title -
briefings in functional genomics and proteomics
Language(s) - English
Resource type - Journals
eISSN - 1477-4062
pISSN - 1473-9550
DOI - 10.1093/bfgp/4.1.69
Subject(s) - proteomics , proteome , biology , leverage (statistics) , biomarker discovery , computational biology , biomarker , identification (biology) , data science , bioinformatics , computer science , artificial intelligence , genetics , botany , gene
The development of mass spectrometry (MS) technologies has brought the ability to gather massive amounts of data characterising the proteomes of complex mixtures. A major focus in proteomics is to leverage this data-gathering capability to conduct comparative analyses of biofluids from healthy and disease-affected patients for the identification of highly specific biomarkers and/or the development of MS-based diagnostic platforms. Much effort has gone into optimising the biofluid proteome coverage that can be obtained using these technologies, leaving proteomics poised to make an important impact in disease diagnostics in the future.

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