抗性基因协会和推断网络 (ReGAIN):一个生物信息学管道,用于评估细菌病原体中抗性基因之间的概率共发生
Elijah R Bring Horvath1,2, Mathew G Stein1,2,3,4,5, Matthew A Mulvey3,4
1Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, Utah, 84112, United States.
bioRxiv : the preprint server for biology
|March 11, 2024
概括
多药耐药 (MDR) 病原体需要新的工具. 新的抵抗基因协会和推断网络 (ReGAIN) 平台绘制了细菌中复杂的抗微生物耐药性基因网络.
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.
- 计算生物学 计算生物学
背景情况:
- 越来越多的抗药性 (MDR) 细菌病原体的流行率是一个重大的全球卫生挑战.
- 现有的基因组工具主要专注于检测个体耐药基因,从而在了解它们在特定生物体内共同发生的模式方面留下了差距.
- 了解这些模式对于开发针对MDR感染的有效策略至关重要.
结论:
- ReGAIN为抗微生物耐药性和MDR表型的动态提供了新的见解.
- 通过绘制基因网络,丰富了细菌抗体的分析.
- 为了解影响疾病和治疗结果的基因关系提供了一个全面的工具.
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