TY - JOUR AU - Arango-Argoty, G. A. AU - Dai, D. AU - Pruden, A. AU - Vikesland, P. AU - Heath, L. S. AU - Zhang, L. PY - 2019 DA - 2019/06/07 TI - NanoARG: a web service for detecting and contextualizing antimicrobial resistance genes from nanopore-derived metagenomes JO - Microbiome SP - 88 VL - 7 IS - 1 AB - Direct and indirect selection pressures imposed by antibiotics and co-selective agents and horizontal gene transfer are fundamental drivers of the evolution and spread of antibiotic resistance. Therefore, effective environmental monitoring tools should ideally capture not only antibiotic resistance genes (ARGs), but also mobile genetic elements (MGEs) and indicators of co-selective forces, such as metal resistance genes (MRGs). A major challenge towards characterizing the potential human health risk of antibiotic resistance is the ability to identify ARG-carrying microorganisms, of which human pathogens are arguably of greatest risk. Historically, short reads produced by next-generation sequencing technologies have hampered confidence in assemblies for achieving these purposes. SN - 2049-2618 UR - https://doi.org/10.1186/s40168-019-0703-9 DO - 10.1186/s40168-019-0703-9 ID - Arango-Argoty2019 ER -