期刊
GIGASCIENCE
卷 7, 期 7, 页码 -出版社
OXFORD UNIV PRESS
DOI: 10.1093/gigascience/giy064
关键词
structural variants; visualization; manual curation
资金
- US National Human Genome Research Institute [NIH K99HG009532, NIH R01HG006693, NIH R01GM124355]
- US National Cancer Institute [NIH U24CA209999]
SV-plaudit is a framework for rapidly curating structural variant (SV) predictions. For each SV, we generate an image that visualizes the coverage and alignment signals from a set of samples. Images are uploaded to our cloud framework where users assess the quality of each image using a client-side web application. Reports can then be generated as a tab-delimited file or annotated Variant Call Format (VCF) file. As a proof of principle, nine researchers collaborated for 1 hour to evaluate 1,350 SVs each. We anticipate that SV-plaudit will become a standard step in variant calling pipelines and the crowd-sourced curation of other biological results.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据