期刊论文

Zhao, WZ

英文

BRIEFINGS IN BIOINFORMATICS

1467-5463

2022

23

3

10.1093/bib/bbac052

The work is partially supported by the National Natural Science Foundation of China (No. 61532008, No. 61872157, and No. 61932008), the Wuhan Science and Technology Program (2019010701011392), the Key Research and Development Program of Hubei Province (2020BAB017), the Fundamental Research Funds for the Central Universities (CCNU19TD004), Research Fund of Guangxi Key Lab of Multi-source Information Mining & Security (MIMS19-02), and the Guangxi Key Laboratory of Trusted Software (No. kx201905). Authors are grateful to the anonymous reviewers for helpful comments.

本校为第一且通讯机构

The increasing prevalence of antibiotic resistance has become a global health crisis. For the purpose of safety regulation, it is of high importance to identify antibiotic resistance genes (ARGs) in bacteria. Although culture-based methods can identify ARGs relatively more accurately, the identifying process is time-consuming and specialized knowledge is required. With the rapid development of whole genome sequencing technology, researchers attempt to identify ARGs by computing sequence similarity from public databases. However, these computational methods might fail to detect ARGs due to the ...