DNA测序
标准化
计算生物学
数据挖掘
注释
生物
外显子组测序
计算机科学
遗传学
突变
人工智能
基因
操作系统
作者
Jun Sun,Yi Huang,Xiaodong Wang,Wenfu Li,Dongyan An,Yong Gao,Hui Xiong,Zaiwei Zhou,Xu Xiong,Xuxu Deng,Xiaoqing Wang,Hui Huang,Zhiyu Peng,Wei Zhang,Shihui Yu,Liang Wang,Weihong Gu,Shangzhi Huang,Yiping Shen
出处
期刊:PubMed
日期:2020-03-10
卷期号:37 (3): 345-351
标识
DOI:10.3760/cma.j.issn.1003-9406.2020.03.021
摘要
Bioinformatic analysis and variant classification are the key components of high-throughput sequencing-based genetic diagnostic approach. This consensus is part of the effort to develop a standardized process for next generation sequencing (NGS)-based test for germline mutations underlying Mendelian disorders in China. The flow-chart, common software, key parameters of bioinformatics pipeline for data processing, annotation, storage and variant classification are reviewed, which is aimed to help improving and maintaining a high-quality process and obtaining consistent outcomes for NGS-based molecular diagnosis.
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