Much global attention has been paid to antibiotic resistance in monitoring its emergence, accumulation and dissemination. For rapid characterization and quantification of antibiotic resistance genes (ARGs) in metagenomic datasets, an online analysis pipeline, ARGs-OAP has been developed consisting of a database termed Structured Antibiotic Resistance Genes (the SARG) with a hierarchical structure (ARGs type-subtype-reference sequence). .

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ARGs-OAP v2.0 with an Expanded SARG Database and Hidden Markov Models for Enhancement Characterization and Quantification of Antibiotic Resistance Genes in Environmental Metagenomes, Xiaole Yin, Xiao-Tao Jiang, Benli Chai, Liguan Li, Ying Yang, James R Cole, James M Tiedje, Tong Zhang. Bioinformatics, bty053, doi:10.1093/bioinformatics/bty053, 02 February 2018

zhangt@hku.hk

https://smile.hku.hk/SARGs

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The University of Hong Kong

Github: https://github.com/biofuture/Ublastx_stageone

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Researchers should cite this work as follows:

• (2024), "ARGs - Gateway," https://sciencegateways.org/resources/args-gateway.

  BibTex | EndNote

1. antibiotic resistance genes
2. ARGs-OAP
3. public health
4. SARG