ARGs-OAP statistics

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Citations per year

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Popular tool citations

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Associated diseases

Associated diseases

ARGs-OAP specifications


Unique identifier OMICS_19600
Software type Pipeline/Workflow
Interface Web user interface
Restrictions to use None
Programming languages Python, R
Computer skills Basic
Version 2.0
Stability Stable
Maintained Yes



  • person_outline James M. Tiedje <>
  • person_outline Tong Zhang <>

Additional information

Publications for ARGs-OAP

ARGs-OAP in publication

PMCID: 5811963
PMID: 29439741
DOI: 10.1186/s40168-018-0419-2

[…] reads contained < 10% unknown bases, and (3) the reads contained > 50% high-quality bases []. on average, 8.7 gb clean reads were generated for each sample., arg abundance was determined using args-oap []. briefly, potential arg reads and 16s rrna genes were extracted, and arg-like reads were identified and annotated using blastx by applying the combined arg database of card (the […]

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ARGs-OAP institution(s)
Environmental Biotechnology Laboratory, Department of Civil Engineering, University of Hong Kong, Hong Kong, China; Department of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, MI, USA; School of Marine Sciences, Sun Yat-sen University, Guangzhou, China
ARGs-OAP funding source(s)
Supported by the University of Hong Kong and by Hong Kong GRF (172057/15E).

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