桑格测序
CEBPA公司
计算生物学
生物
遗传学
个人基因组学
DNA测序
基因
基因组
计算机科学
人类基因组
突变
作者
Young‐Gon Kim,Man Jin Kim,Hyukmin Lee,Jung Ae Lee,Ji Yun Song,Sung Im Cho,Sung Sup Park,Moon‐Woo Seong
标识
DOI:10.1016/j.jmoldx.2020.11.001
摘要
Despite the wide application of next-generation sequencing, Sanger sequencing still plays a necessary role in clinical laboratories. However, recent developments in the field of bioinformatics have focused mostly on next-generation sequencing, while tools for Sanger sequencing have shown little progress. In this study, SnackVar (https://github.com/Young-gonKim/SnackVar, last accessed June 22, 2020), a novel graphical user interface-based software for Sanger sequencing, was developed. All types of variants, including heterozygous insertion/deletion variants, can be identified by SnackVar with minimal user effort. The featured reference sequences of all of the genes are prestored in SnackVar, allowing for detected variants to be precisely described based on coding DNA references according to the nomenclature of the Human Genome Variation Society. Among 88 previously reported variants from four insertion/deletion-rich genes (BRCA1, APC, CALR, and CEBPA), the result of SnackVar agreed with reported results in 87 variants [98.9% (93.0%; 99.9%)]. The cause of one incorrect variant calling was proven to be erroneous base callings from poor-quality trace files. Compared with commercial software, SnackVar required less than one-half of the time taken for the analysis of a selected set of test cases. We expect SnackVar to be a cost-effective option for clinical laboratories performing Sanger sequencing.
科研通智能强力驱动
Strongly Powered by AbleSci AI