Merkelbach-Bruse S, Rehker J, Siemanowski J, Klauschen F
Institut für Pathologie, Universitätsklinikum Köln, Kerpener Str. 62, Gebäude 8e, 50937, Köln, Deutschland.
Institut für Pathologie, Charité Universitätsmedizin Berlin, Berlin, Deutschland.
Pathologe. 2019 May;40(3):243-249. doi: 10.1007/s00292-019-0603-6.
Due to the increasing amount of data and sources of information, data evaluation is a crucial step in parallel sequencing.
Illustration of pitfalls in evaluating the variant list of parallel sequencing and recommendations regarding software tools and databases.
Description of filtering steps used, demonstration of criteria and recommendations for annotation by examples from everyday work, comparative analysis of databases with somatic variants, description of the installation of an individualized database.
Variant filtering is a multistep process using information from different databases. The plausibility of variant calling should be verified using the Integrative Genomics Viewer and variants should be described according to the Human Genome Variation Society (HGVS) recommendations. Different databases, which all show advantages and disadvantages, are available for variant interpretation. An individualized database can be built up with the open-source tool cBioPortal.
Different tools and databases might be used for the analysis of parallel sequencing data. The application depends on, amongst other things, the local situation and has to be extensively validated.
由于数据量和信息来源不断增加,数据评估是二代测序中的关键步骤。
阐述二代测序变异列表评估中的陷阱,并就软件工具和数据库给出建议。
描述所使用的过滤步骤,通过日常工作实例展示注释标准和建议,对体细胞变异数据库进行比较分析,描述个性化数据库的建立。
变异过滤是一个利用来自不同数据库信息的多步骤过程。应使用综合基因组浏览器验证变异检测的合理性,并应根据人类基因组变异协会(HGVS)的建议描述变异。不同的数据库都有各自的优缺点,可用于变异解读。可以使用开源工具cBioPortal建立个性化数据库。
不同的工具和数据库可用于二代测序数据分析。其应用除其他因素外还取决于当地情况,并且必须经过广泛验证。