中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
MutScan: fast detection and visualization of target mutations by scanning FASTQ data.

文献类型:期刊论文

作者Gu, Jia; Chen, Shifu; Huang, Tanxiao; Wen, Tiexiang; Li, Hong; Xu, Mingyan
刊名BMC BIOINFORMATICS
出版日期2018
文献子类期刊论文
英文摘要Background: Some types of clinical genetic tests, such as cancer testing using circulating tumor DNA (ctDNA), require sensitive detection of known targetmutations. However, conventional next-generation sequencing (NGS) data analysis pipelines typically involve different steps of filtering, which may cause miss-detection of key mutations with low frequencies. Variant validation is also indicated for key mutations detected by bioinformatics pipelines. Typically, this process can be executed using alignment visualization tools such as IGV or GenomeBrowse. However, these tools are too heavy and therefore unsuitable for validating mutations in ultra-deep sequencing data. 
URL标识查看原文
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/14230]  
专题深圳先进技术研究院_医工所
推荐引用方式
GB/T 7714
Gu, Jia,Chen, Shifu,Huang, Tanxiao,et al. MutScan: fast detection and visualization of target mutations by scanning FASTQ data.[J]. BMC BIOINFORMATICS,2018.
APA Gu, Jia,Chen, Shifu,Huang, Tanxiao,Wen, Tiexiang,Li, Hong,&Xu, Mingyan.(2018).MutScan: fast detection and visualization of target mutations by scanning FASTQ data..BMC BIOINFORMATICS.
MLA Gu, Jia,et al."MutScan: fast detection and visualization of target mutations by scanning FASTQ data.".BMC BIOINFORMATICS (2018).

入库方式: OAI收割

来源:深圳先进技术研究院

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