VaxGO: an interactive web tool for systems vaccinology data analysis
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
TL;DR
VaxGO is a web tool that helps researchers analyze gene activity related to immune responses and vaccines without needing programming skills.
Contribution
VaxGO introduces an accessible, interactive platform for systems vaccinology analysis that integrates multiple gene and immune-related datasets.
Findings
VaxGO integrates data from Gene Ontology, CellMarker 2.0, and MSigDB Vax collection for immune-related gene analysis.
The tool enables exploration of transcriptional patterns in vaccines like those for COVID-19 without requiring programming skills.
VaxGO is available as a web-based platform to improve accessibility for non-programming researchers.
Abstract
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. 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. The VaxGO tool is available at https://github.com/wapsyed/VaxGO.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
Topicsvaccines and immunoinformatics approaches · Influenza Virus Research Studies · Bioinformatics and Genomic Networks