ArticleBioinformatics advances2025
VaxGO: an interactive web tool for systems vaccinology data analysis.
Article in Bioinformatics advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Authors and funding
11 authors.
Funding
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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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.