数字聚合酶链反应
计算机科学
仪表(计算机编程)
表(数据库)
钥匙(锁)
数据科学
过程(计算)
软件
数据挖掘
风险分析(工程)
医学
生物
计算机安全
聚合酶链反应
生物化学
基因
程序设计语言
操作系统
作者
The dMIQE Group,Alexandra S. Whale,Ward De Spiegelaere,Wim Trypsteen,Afif M. Abdel Nour,Young‐Kyung Bae,Vladimı́r Beneš,Daniel Burke,Megan H. Cleveland,Philippe Corbisier,Alison S. Devonshire,Lianhua Dong,Daniela Drandi,Carole A. Foy,Jeremy A. Garson,Hua‐Jun He,Jan Hellemans,Mikael Kubista,Antoon Lievens,Mike Makrigiorgos
出处
期刊:Clinical Chemistry
[American Association for Clinical Chemistry]
日期:2020-06-15
卷期号:66 (8): 1012-1029
被引量:479
标识
DOI:10.1093/clinchem/hvaa125
摘要
Digital PCR (dPCR) has developed considerably since the publication of the Minimum Information for Publication of Digital PCR Experiments (dMIQE) guidelines in 2013, with advances in instrumentation, software, applications, and our understanding of its technological potential. Yet these developments also have associated challenges; data analysis steps, including threshold setting, can be difficult and preanalytical steps required to purify, concentrate, and modify nucleic acids can lead to measurement error. To assist independent corroboration of conclusions, comprehensive disclosure of all relevant experimental details is required. To support the community and reflect the growing use of dPCR, we present an update to dMIQE, dMIQE2020, including a simplified dMIQE table format to assist researchers in providing key experimental information and understanding of the associated experimental process. Adoption of dMIQE2020 by the scientific community will assist in standardizing experimental protocols, maximize efficient utilization of resources, and further enhance the impact of this powerful technology.
科研通智能强力驱动
Strongly Powered by AbleSci AI