Copyright: LG209, Environmental Microbiome Engineering and Biotechnology Laboratory, The University of Hong Kong

Author: Xiaole Yin, email: [email protected]

Citation Yin, X, X-T Jiang, B. Chai, L. Li, Y. Yang, J. R. Cole, J. M. Tiedje*, and T. Zhang*.(2018) "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." Bioinformatics 1:8. DOI:10.1093/bioinformatics/bty053

To analyze metagenomic datasets online, please visit https://smile.hku.hk/SARGs

What Does This Module Do Sargfam database and profile Hidden Markov Models based alignment algorithm for ARGs-like sequences annotation were a function module in ARGs-OAP v2.0, supporting supplementary sequence retrieval strategy to current similarity search method (i.e. UBLAST and BLAST), especially applied on detecting remote homolog (novel genes).