GVAF: generalized, flexible filtering software for annotated variant files.

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Sora Kim, Sungwon Jung
{"title":"GVAF: generalized, flexible filtering software for annotated variant files.","authors":"Sora Kim, Sungwon Jung","doi":"10.1007/s13258-024-01580-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>In the rapidly advancing field of genomics, many tools have been developed to interpret genetic variants using next-generation sequencing (NGS) data. However, these tools often produce annotated variant files in different formats, which require specific software or programming skills to filter and analyze.</p><p><strong>Objective: </strong>To provide a filtering tool that can be used with diverse variant annotation tools without requiring specific software or programming skills.</p><p><strong>Methods: </strong>We developed Germline Variant Annotation and Filtering (GVAF), a command-line software tool that can handle annotated variant files in any table-shaped format. GVAF offers powerful filtering operations without the need for additional software or programming expertise.</p><p><strong>Results: </strong>Built on the Java framework and bash scripts, it provides extensive features, including flexible filtering rules, recognition of genotype-related fields from variant call format (VCF) files, and customizable result generation. GVAF also integrates easily into existing data analysis pipelines. Compared to other tools, GVAF offers a broader range of functionalities, making it more flexible and intuitive for managing annotated variant files.</p><p><strong>Conclusion: </strong>This GVAF software and online manual is publicly available at https://www.sysbiolab.org/gvaf for academic users and is designed to streamline the variant interpretation process, aiding researchers in producing meaningful results.</p>","PeriodicalId":12675,"journal":{"name":"Genes & genomics","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genes & genomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s13258-024-01580-0","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: In the rapidly advancing field of genomics, many tools have been developed to interpret genetic variants using next-generation sequencing (NGS) data. However, these tools often produce annotated variant files in different formats, which require specific software or programming skills to filter and analyze.

Objective: To provide a filtering tool that can be used with diverse variant annotation tools without requiring specific software or programming skills.

Methods: We developed Germline Variant Annotation and Filtering (GVAF), a command-line software tool that can handle annotated variant files in any table-shaped format. GVAF offers powerful filtering operations without the need for additional software or programming expertise.

Results: Built on the Java framework and bash scripts, it provides extensive features, including flexible filtering rules, recognition of genotype-related fields from variant call format (VCF) files, and customizable result generation. GVAF also integrates easily into existing data analysis pipelines. Compared to other tools, GVAF offers a broader range of functionalities, making it more flexible and intuitive for managing annotated variant files.

Conclusion: This GVAF software and online manual is publicly available at https://www.sysbiolab.org/gvaf for academic users and is designed to streamline the variant interpretation process, aiding researchers in producing meaningful results.

GVAF:用于注释变异文件的通用、灵活的过滤软件。
背景:在飞速发展的基因组学领域,人们开发了许多工具来利用下一代测序(NGS)数据解读基因变异。然而,这些工具通常会生成不同格式的注释变异文件,需要特定的软件或编程技巧才能进行过滤和分析:提供一种可与多种变异注释工具一起使用的过滤工具,而无需特定的软件或编程技能:我们开发了种系变异注释和过滤(GVAF),这是一种命令行软件工具,可以处理任何表格格式的注释变异文件。GVAF提供了强大的过滤操作,无需额外的软件或编程知识:GVAF 基于 Java 框架和 bash 脚本构建,具有广泛的功能,包括灵活的过滤规则、识别变异调用格式 (VCF) 文件中的基因型相关字段以及可定制的结果生成。GVAF 还能轻松集成到现有的数据分析管道中。与其他工具相比,GVAF 提供了更广泛的功能,使其在管理注释变异文件方面更加灵活和直观:该 GVAF 软件和在线手册可通过 https://www.sysbiolab.org/gvaf 公开获取,供学术界用户使用,旨在简化变异解释过程,帮助研究人员得出有意义的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Genes & genomics
Genes & genomics 生物-生化与分子生物学
CiteScore
3.70
自引率
4.80%
发文量
131
审稿时长
6-12 weeks
期刊介绍: Genes & Genomics is an official journal of the Korean Genetics Society (http://kgenetics.or.kr/). Although it is an official publication of the Genetics Society of Korea, membership of the Society is not required for contributors. It is a peer-reviewed international journal publishing print (ISSN 1976-9571) and online version (E-ISSN 2092-9293). It covers all disciplines of genetics and genomics from prokaryotes to eukaryotes from fundamental heredity to molecular aspects. The articles can be reviews, research articles, and short communications.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信