ArticleBioinformatics (Oxford, England)2024
FungiFun3: systemic gene set enrichment analysis for fungal species.
Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
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- Exploring the biochemical and biological functions of copper radical oxidases in the vascular wilt phytopathogenApplied and environmental microbiology · 2026Article
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- Impact ofmSphere · 2026Article
- EneA of Aspergillus fumigatus is a regulator of secondary metabolism and enhances nscA expression in presence of polyenes and Streptomyces.Scientific reports · 2026Article
- Genetic engineering of Beauveria bassiana for enhancing siderophore production and its virulence against the insect hosts.Biotechnology letters · 2026Article
- Exploring the Habitability of the Outer Solar System Icy Moons for the Extremotolerant Yeast Rhodotorula frigidalcoholis.Environmental microbiology · 2026Article
- Article
- Article
- FunFEA: an R package for fungal functional enrichment analysis.BMC bioinformatics · 2025Article
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4 authors.
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Abstract
summaryThe ever-growing amount of genome-wide omics data paved the way for solving life science problems in a data-driven manner. Among others, enrichment analysis is part of the standard analysis arsenal to determine systemic signals in any given transcriptomic or proteomic data. Only a part of the members of the fungal kingdom, however, can be analyzed via public web applications, despite the global rise of fungal pathogens and their increasing resistance to antimycotics. We present FungiFun3, a major update of our user-friendly gene set enrichment web application dedicated to fungi. FungiFun3 was rebuilt from scratch to support a modern and easy-to-use web interface and supports >4-fold more fungal strains (n = 1287 in total) than its predecessor. In addition, it also allows ranked gene set enrichment analysis at the genomic scale. FungiFun3 thus serves as a starting hub for identifying molecular signals in omics datasets related to a vast amount of available fungal strains including human fungal pathogens of the WHO's priority list and far beyond. AVAILABILITY AND IMPLEMENTATION: FungiFun3, including sample data and FAQ, is freely available at https://fungifun3.hki-jena.de/.
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