Skip to content

DeepARG

Description

deeparg website

This software requires external data that has been removed from the web and the software has been abandoned by its author. It is not functional. A deep learning based approach to predict Antibiotic Resistance Genes (ARGs) from metagenomes. It provides two models,deepARG-SS and deepARG-LS.

Environment Modules

Run module spider deeparg to find out what environment modules are available for this application.

Environment Variables

  • HPC_DEEPARGSS_DIR - installation directory
  • HPC_DEEPARGSS_BIN - executable directory

Citation

If you publish research that uses deeparg you have to cite it as follows:

Arango-Argoty GA, Garner E, Pruden A, Heath LS, Vikesland P, Zhang L. DeepARG: A deep learning approach for predicting antibiotic resistance genes from metagenomic data. Microbiome20186:23 https://doi.org/10.1186/s40168-018-0401-z.

Categories

phylogenetics