DeepARG

From UFRC
Revision as of 13:39, 27 August 2020 by Maxprok (talk | contribs) (Created page with "Category:SoftwareCategory:Phylogenetics {|<!--CONFIGURATION: REQUIRED--> |{{#vardefine:app|deeparg}} |{{#vardefine:url|https://bitbucket.org/gusphdproj/deeparg-ss/src/...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

Description

deeparg website  

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.

System Variables

  • HPC_DEEPARG_DIR - installation directory
  • HPC_DEEPARG_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.