DeepARG 1.0.2

:: DESCRIPTION

DeepARG is a machine learning solution that uses deep learning to characterize and annotate antibiotic resistance genes in metagenomes. It is composed of two models for two types of input: short sequence reads and gene-like sequences.

::DEVELOPER

Professor Zhang Liqing’s Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

• Linux
• Python

:: DOWNLOAD

DeepARG

:: MORE INFORMATION

Citation

Arango-Argoty G, Garner E, Pruden A, Heath LS, Vikesland P, Zhang L.
DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data.
Microbiome. 2018 Feb 1;6(1):23. doi: 10.1186/s40168-018-0401-z. PMID: 29391044; PMCID: PMC5796597.