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GCompip:用于估计微生物群落中的基因丰度的管道

Xiang Zhou^1,2, Qiushuang Li¹, Shizhe Zhang^1,2

¹State Key Laboratory of Forage Breeding-by-Design and Utilization, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, 410125, China.

Bioinformatics advances

|September 29, 2025

概括

通过考虑社区的大小,GCompip准确地估计了微生物群落 (GAM) 中的基因丰富度. 这一新管道为元基因组数据分析提供了强大而有效的方法,改善了对微生物代谢能力的解释.

科学领域:

微生物学微生物学
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:

在基因组学中,传统的基因丰富度指标,如每百万个基因的数量和副本,并不考虑微生物群体的大小.
准确的基因丰度估计对于了解微生物社区结构和功能至关重要.

研究的目的:

开发一个全面的计算管道,GCompip,用于估计微生物群落 (GAM) 中的基因丰度.
与现有工具相比,提高GAM估计的精度和可靠性.

主要方法:

GCompip使用一个专门的通用单拷贝基因 (USCG) 数据库.
该管道采用严格的对齐参数和严格的过标准,以准确识别基因.
作为一个Linux命令行工具和一个R包.

主要成果:

GCompip表现出高的特异性和计算效率.
它提高了GAM估计在各种环境 (人类肠道,,淡水,海洋,热水沉积物,冰川) 的精度.
比较工具显示出更高的错误率,错误阳性和高估,这是由于较不严格的设置造成的.

结论:

GCompip提供了一个准确,强大,用户友好和高效的管道,用于从元基因组数据计算GAM.
该工具增强了对微生物社区代谢能力和数据解释的评估.
可访问的版本促进了微生物生态学的更广泛的研究应用.

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