reference/17523462

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/17523462

Outgoing Links

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contentType	Journal Article\|Research Support, Non-U.S. Gov't
endingPage	37
issn	1874-3919
pageRange	28-37
publicationName	Journal of Proteomics
startingPage	28
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bibliographicCitation	Wang Y, Li J, Zhang A, Zhu W, Zhang Q, Xu Z, Yan S, Sun X, Chen H, Jin M. iTRAQ-based quantitative proteomic analysis reveals potential virulence factors of Erysipelothrix rhusiopathiae. J Proteomics. 2017 May 08;160():28–37. doi: 10.1016/j.jprot.2017.03.004. PMID: 28284755.
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date	2017-05-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://doi.org/10.1016/j.jprot.2017.03.004 https://pubmed.ncbi.nlm.nih.gov/28284755
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language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	iTRAQ-based quantitative proteomic analysis reveals potential virulence factors of Erysipelothrix rhusiopathiae
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Total number of triples: 47.