基于DADA2算法的细菌生物基因扩增测序分析研究  

Analysis of bacterial gene amplification and sequencing based on DADA2 algorithm

作　　者：张甲[1] ZHANG Jia(ShangluoVocational&TechnicalCollege,Shangluo Shanxi,726000,China)

机构地区：[1]商洛职业技术学院,陕西商洛726000

出　　处：《自动化与仪器仪表》2024年第12期257-261,共5页Automation & Instrumentation

基　　金：省级《乡村振兴背景下乡村基层急救医疗服务人才培养策略研究》《2023SZX287》。

摘　　要：针对细菌生物群落的特征识别,研究提出一种基于改进分裂扩增子去噪算法的细菌生物基因扩增测序方法,该方法通过序列配对比对、错误模型构建、丰度值计算以及分裂分割算法对扩增子测序数据进行去噪和细微变异检测。通过对比实验,结果显示研究提出的方法在平衡数据集中的读取精度达到99.3%,在HMP数据集中达到99.1%,在Extreme数据集中为99.5%。结果表明,研究提出的方法为细菌群落分析提供了一种高分辨率的工具,有助于了解细菌在环境中的演变。Aiming at the feature recognition of bacterial biome,a bacterial gene amplification sequencing method based on improved split-amplicon denoising algorithm was proposed.The method used sequence pairing alignment,error model construction,abundance calculation and split-segmentation algorithm to denoise and detect subtle variation of amplicon sequencing data.Through comparative experiments,the results show that the reading accuracy of the proposed method reaches 99.3%in the balanced data set,99.1%in the HMP data set and 99.5%in the Extreme data set.The results show that the proposed method provides a high-resolution and highly accurate tool for bacterial community analysis.

关 键 词：分裂扩增子去噪算法 细菌 基因扩增测序 丰度值 变异 

分 类 号：TS201.6[轻工技术与工程—食品科学] TP29[轻工技术与工程—食品科学与工程]