argNorm:抗生素耐药性基因注释的正常化,用于抗生素耐药性本体学 (ARO)
Svetlana Ugarcina Perovic1,2, Vedanth Ramji3,4, Hui Chong1
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China.
Bioinformatics (Oxford, England)
|April 16, 2025
概括
抗生素耐药性基因 (ARG) 标注工具使用不一致的名称,阻碍了比较. 新的argNorm工具将基因名称标准化为抗生素耐药性实体学 (ARO),改善不同分析管道的数据可比性.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 微生物学 微生物学
背景情况:
- 抗生素耐药性基因 (ARG) 对于理解微生物进化和对抗传染病至关重要.
- 目前用于在基因组和元基因组数据中注释ARG的工具经常使用不一致的命名法,使数据集成和比较复杂化.
- 标准化的注释对于准确的ARG识别和跨研究的比较分析至关重要.
研究的目的:
- 开发一种工具,将抗生素耐药性基因注释正常化为共同的受控词汇.
- 提高来自不同生物信息学工具的ARG注释输出的可比性.
- 为了促进基因组和元基因组数据集中ARG的更强有力的分析.
主要方法:
- 开发了argNorm,一个命令行工具和Python库.
- 针对抗生素耐药性本体学 (ARO) 检测到的基因实现了正常化.
- 来自6个ARG注释工具和8个数据库的综合输出.
主要成果:
- argNorm成功地将基因名称和类别映射到ARO,创建了一个统一的命名体系.
- 该工具标准化了ARG注释,允许直接比较来自不同注释管道的结果.
- 丰富的输出与一致的ARG分类,以改进跨工具分析.
结论:
- argNorm解决了ARG注释中不一致的命名体系的挑战.
- 对ARO的ARG注释标准化显著改善了数据的可比性.
- 这种规范化促进了对抗生素耐药性的更可靠和可复制的研究.
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