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From protein microarrays to diagnostic antigen discovery: a study of the pathogen Francisella tularensis
Author(s) -
Suman Sundaresh,
Arlo Randall,
Berkay Unal,
Jeannine M. Petersen,
John T. Belisle,
M. Gill Hartley,
Melanie Duffield,
Richard W. Titball,
D. Huw Davies,
Philip L. Felgner,
Pierre Baldi
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm207
Subject(s) - protein microarray , antigen , francisella tularensis , dna microarray , microarray , computational biology , biology , microarray analysis techniques , gene chip analysis , computer science , data mining , virulence , immunology , genetics , gene expression , gene
An important application of protein microarray data analysis is identifying a serodiagnostic antigen set that can reliably detect patterns and classify antigen expression profiles. This work addresses this problem using antibody responses to protein markers measured by a novel high-throughput microarray technology. The findings from this study have direct relevance to rapid, broad-based diagnostic and vaccine development.

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