基因组
标准化
计算生物学
生物信息学
可视化
计算机科学
鉴定(生物学)
过程(计算)
DNA测序
数据挖掘
数据科学
生物
遗传学
基因
植物
操作系统
作者
Y F Xiong,Z Cai,S C Li,Y J Song,X M Hu,L Zheng
出处
期刊:PubMed
日期:2023-04-18
卷期号:103 (15): 1098-1102
标识
DOI:10.3760/cma.j.cn112137-20221208-02598
摘要
The clinical application of metagenomic next-generation sequencing (mNGS) in the diagnosis of unknown pathogenic infections and critical infections has become increasingly valuable. Due to the huge volume of mNGS data and the complexity of clinical diagnosis and treatment, mNGS has difficulties in data analysis and interpretation in practical application. Therefore, in the process of clinical practice, it is crucial to grasp the key points of bioinformatics analysis and establish a standardized bioinformatics analysis process, which is an important step in the transformation of mNGS from laboratory to clinic. At present, bioinformatics analysis of mNGS has made great progress, but with the high requirements of clinical standardization of bioinformatics analysis and the development of computer technology, bioinformatics analysis of mNGS is also facing new challenges. This article mainly elaborates on quality control, and identification and visualization of pathogenic bacteria.宏基因组测序技术在未知病原体感染以及危重症感染诊断中的临床应用价值日益凸显。由于宏基因组测序庞大的数据量以及临床诊疗的复杂性,使得宏基因组测序在实际应用中存在着数据分析困难、不易解读的难题。因此,在临床实践的过程中,把握生物信息学分析的关键点、建立标准化的生物信息学分析流程至关重要,这是宏基因组测序由实验室走向临床转化的重要步骤。目前,宏基因组测序的生物信息学分析已经有了长足的进步,但随着临床对生物信息学分析规范化、标准化的高要求以及计算机技术的发展,宏基因组测序的生物信息学分析也面临着新的挑战。本文主要从质量控制、致病菌的判定以及可视化等方面进行阐述。.
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