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  High-throughput and computational approaches for diagnostic and prognostic host tuberculosis biomarkers

Weiner, J., & Kaufmann, S. H. E. (2017). High-throughput and computational approaches for diagnostic and prognostic host tuberculosis biomarkers. International journal of infectious diseases, 56, 258-262. doi:10.1016/j.ijid.2016.10.017.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-25CC-6 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-25CD-4
Genre: Journal Article

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Int_J_Infect_Dis_2017_56_258.pdf (Publisher version), 615KB
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2016 The Authors This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync- nd/4.0/).
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 Creators:
Weiner, January1, Author           
Kaufmann, Stefan H. E.1, Author           
Affiliations:
1Department of Immunology, Max Planck Institute for Infection Biology, Max Planck Society, ou_1664146              

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Language(s): eng - English
 Dates: 2017-03
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.ijid.2016.10.017
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Title: International journal of infectious diseases
Source Genre: Journal
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Pages: - Volume / Issue: 56 Sequence Number: - Start / End Page: 258 - 262 Identifier: -