{"title":"GVAF:用于注释变异文件的通用、灵活的过滤软件。","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":"{\"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}","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}
GVAF: generalized, flexible filtering software for annotated variant files.
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.
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.