VaxGO: an interactive web tool for systems vaccinology data analysis.

IF 2.4 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Bioinformatics advances Pub Date : 2025-05-02 eCollection Date: 2025-01-01 DOI:10.1093/bioadv/vbaf101
Wasim Aluísio Prates-Syed, Aline Aparecida Lima, Nelson Cortes, Evelyn Carvalho, Jaqueline Dinis Queiroz Silva, Bárbara Hamaguchi, Ricardo Durães-Carvalho, Otávio Cabral-Marques, Thomas Hagan, José E Krieger, Gustavo Cabral-Miranda
{"title":"VaxGO: an interactive web tool for systems vaccinology data analysis.","authors":"Wasim Aluísio Prates-Syed, Aline Aparecida Lima, Nelson Cortes, Evelyn Carvalho, Jaqueline Dinis Queiroz Silva, Bárbara Hamaguchi, Ricardo Durães-Carvalho, Otávio Cabral-Marques, Thomas Hagan, José E Krieger, Gustavo Cabral-Miranda","doi":"10.1093/bioadv/vbaf101","DOIUrl":null,"url":null,"abstract":"<p><strong>Motivation: </strong>RNA sequencing is crucial for investigating transcriptional patterns in immunology and vaccine research. However, the analysis of RNA sequencing data often requires programming skills, which can limit accessibility for researchers lacking such expertise.</p><p><strong>Results: </strong>We present VaxGO, an intuitive web-based tool designed to facilitate the analysis of differentially expressed genes in the context of immune processes and cells during vaccination. This tool integrates data from Gene Ontology, CellMarker 2.0, the MSigDB Vax collection, and other key studies, including transcriptional atlases of vaccines against COVID-19 and other diseases. VaxGO is an interactive, web-based tool, offering a user-friendly platform for exploring immune responses and vaccine efficacy without programming expertise.</p><p><strong>Availability and implementation: </strong>The VaxGO tool is available at https://github.com/wapsyed/VaxGO.</p>","PeriodicalId":72368,"journal":{"name":"Bioinformatics advances","volume":"5 1","pages":"vbaf101"},"PeriodicalIF":2.4000,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12179387/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioinformatics advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/bioadv/vbaf101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Motivation: RNA sequencing is crucial for investigating transcriptional patterns in immunology and vaccine research. However, the analysis of RNA sequencing data often requires programming skills, which can limit accessibility for researchers lacking such expertise.

Results: We present VaxGO, an intuitive web-based tool designed to facilitate the analysis of differentially expressed genes in the context of immune processes and cells during vaccination. This tool integrates data from Gene Ontology, CellMarker 2.0, the MSigDB Vax collection, and other key studies, including transcriptional atlases of vaccines against COVID-19 and other diseases. VaxGO is an interactive, web-based tool, offering a user-friendly platform for exploring immune responses and vaccine efficacy without programming expertise.

Availability and implementation: The VaxGO tool is available at https://github.com/wapsyed/VaxGO.

VaxGO:用于系统疫苗学数据分析的交互式网络工具。
动机:RNA测序对免疫学和疫苗研究中的转录模式研究至关重要。然而,RNA测序数据的分析通常需要编程技能,这可能会限制缺乏这种专业知识的研究人员的可访问性。结果:我们提出了VaxGO,一个直观的基于网络的工具,旨在促进免疫过程和接种期间细胞中差异表达基因的分析。该工具整合了来自Gene Ontology、CellMarker 2.0、MSigDB Vax收集和其他关键研究的数据,包括针对COVID-19和其他疾病的疫苗转录图谱。VaxGO是一个交互式的基于网络的工具,提供了一个用户友好的平台,可以在没有编程专业知识的情况下探索免疫反应和疫苗功效。可用性和实现:VaxGO工具可从https://github.com/wapsyed/VaxGO获得。
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
CiteScore
1.60
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信