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Updated: Jun 5, 2025

Empirical, Metagenomic, and Computational Techniques Illuminate the Mechanisms by which Fungicides Compromise Bee Health
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通过整合基因组注释信息,RFW捕捉了物种级的基因组功能

Kai Mi1, Rui Xu1, Xingyin Liu2

  • 1Department of Pathogen Biology-Microbiology Division, State Key Laboratory of Reproductive Medicine and Offspring Health, Key Laboratory of Pathogen of Jiangsu Province, Center of Global Health, Nanjing Medical University, Nanjing 211166, China.

Cell reports methods
|December 11, 2024
PubMed
概括

我们开发了RFW,这是一个新的框架,用于从全元基因组猎枪测序 (WMS) 数据中改进微生物功能分析. 射频电路尽量减少信息丢失,增强在自闭症和结直肠癌等疾病中的微生物组研究.

关键词:
科普:遗传学 在CP:遗传学.CP: 微生物学 微生物学据悉,DFSCA-BC是该公司的总经理.在 RFW RFW RFW 里面,你会发现丰度变化量化微生物功能的量化.微生物的功能概况.猎枪测序的顺序是什么在物种层面上的元基因组功能.

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