Sequence-based identification is one of the most effective methods for species-level identification of nontuberculous mycobacteria (NTM). However, it is time-consuming because of the bioinformatics processes involved, including sequence trimming, consensus sequence generation, and public database searches. We developed a simple and fully automated software that enabled species-level identification of NTM from trace files, SnackNTM (https://github.com/Young-gonKim/SnackNTM).

中文翻译：

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SnackNTM：基于 Sanger 测序的非结核分枝杆菌物种鉴定的开源软件。

基于序列的鉴定是对非结核分枝杆菌（NTM）进行物种水平鉴定的最有效方法之一。然而，由于涉及生物信息学过程，包括序列修剪、一致序列生成和公共数据库搜索，因此非常耗时。我们开发了一个简单且完全自动化的软件，可以从跟踪文件 SnackNTM (https://github.com/Young-gonKim/SnackNTM) 中对 NTM 进行物种级识别。