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VCFshiny:一款用于交互式分析和可视化基因变异的R/Shiny应用程序。

VCFshiny: an R/Shiny application for interactively analyzing and visualizing genetic variants.

作者信息

Chen Tao, Tang Chengcheng, Zheng Wei, Qian Yanan, Chen Min, Zou Qingjian, Jin Yinge, Wang Kepin, Zhou Xiaoqing, Gou Shixue, Lai Liangxue

机构信息

Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, South China Institute of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen 529020, China.

CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.

出版信息

Bioinform Adv. 2023 Aug 26;3(1):vbad107. doi: 10.1093/bioadv/vbad107. eCollection 2023.

Abstract

SUMMARY

Next-generation sequencing generates variants that are typically documented in variant call format (VCF) files. However, comprehensively examining variant information from VCF files can pose a significant challenge for researchers lacking bioinformatics and programming expertise. To address this issue, we introduce VCFshiny, an R package that features a user-friendly web interface enabling interactive annotation, interpretation, and visualization of variant information stored in VCF files. VCFshiny offers two annotation methods, Annovar and VariantAnnotation, to add annotations such as genes or functional impact. Annotated VCF files are deemed acceptable inputs for the purpose of summarizing and visualizing variant information. This includes the total number of variants, overlaps across sample replicates, base alterations of single nucleotides, length distributions of insertions and deletions (indels), high-frequency mutated genes, variant distribution in the genome and of genome features, variants in cancer driver genes, and cancer mutational signatures. VCFshiny serves to enhance the intelligibility of VCF files by offering an interactive web interface for analysis and visualization.

AVAILABILITY AND IMPLEMENTATION

The source code is available under an MIT open source license at https://github.com/123xiaochen/VCFshiny with documentation at https://123xiaochen.github.io/VCFshiny.

摘要

摘要

下一代测序产生的变异通常以变异调用格式(VCF)文件记录。然而,对于缺乏生物信息学和编程专业知识的研究人员来说,全面检查VCF文件中的变异信息可能是一项重大挑战。为了解决这个问题,我们引入了VCFshiny,一个R包,它具有用户友好的网页界面,能够对存储在VCF文件中的变异信息进行交互式注释、解释和可视化。VCFshiny提供了两种注释方法,即Annovar和VariantAnnotation,用于添加诸如基因或功能影响等注释。带注释的VCF文件被视为汇总和可视化变异信息的可接受输入。这包括变异总数、样本重复之间的重叠、单核苷酸的碱基改变、插入和缺失(indel)的长度分布、高频突变基因、基因组和基因组特征中的变异分布、癌症驱动基因中的变异以及癌症突变特征。VCFshiny通过提供用于分析和可视化的交互式网页界面来提高VCF文件的清晰度。

可用性和实现

源代码在https://github.com/123xiaochen/VCFshiny上以MIT开源许可提供,文档在https://123xiaochen.github.io/VCFshiny上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75e0/10493178/f799a34c5389/vbad107f1.jpg

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