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

January Weiner | Zendy; Stefan H. E. Kaufmann | Zendy

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

Author(s) -

January Weiner,

Stefan H. E. Kaufmann

Publication year - 2016

Publication title -

international journal of infectious diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.278

H-Index - 89

eISSN - 1878-3511

pISSN - 1201-9712

DOI - 10.1016/j.ijid.2016.10.017

Subject(s) - tuberculosis , host (biology) , throughput , host response , computer science , medicine , computational biology , biology , pathology , immunology , ecology , telecommunications , immune system , wireless

High-throughput techniques strive to identify new biomarkers that will be useful for the diagnosis, treatment, and prevention of tuberculosis (TB). However, their analysis and interpretation pose considerable challenges. Recent developments in the high-throughput detection of host biomarkers in TB are reported in this review.

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