FunFEA: an R package for fungal functional enrichment analysis

Background The functional annotation of fungal genomes is critical for understanding their biological processes and ecological roles. While existing tools support functional enrichment analysis from publicly available annotations of well-established model organisms, few are tailored to the specific...

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Bibliographic Details
Published in:	BMC bioinformatics Vol. 26; no. 1; pp. 138 - 12
Main Authors:	Charest, Julien, Loebenstein, Paul, Mach, Robert L., Mach-Aigner, Astrid R.
Format:	Journal Article
Language:	English
Published:	London BioMed Central 27.05.2025 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Algorithms Annotations Applications software Bioinformatics Biological activity Biomedical and Life Sciences Clusters of orthologous genes (COG/KOG) Computational Biology - methods Computational Biology/Bioinformatics Computer Appl. in Life Sciences Databases, Genetic Enrichment Enzymes Flexibility Functional enrichment analysis Fungi Fungi - genetics Gene expression Gene Ontology Gene ontology (GO) Gene set enrichment analysis Genes Genetic aspects Genome, Fungal Genomes Genomics Genomics - methods KEGG pathway Life Sciences Metabolism Metabolites Microarrays Microbiological research Molecular Sequence Annotation - methods Ontology Pathogens Proteins Proteomics R (Programming language) Software Statistical analysis Strains (organisms) Austria Fungi Functional enrichment analysis Gene ontology (GO) KEGG pathway Clusters of orthologous genes (COG/KOG)
ISSN:	1471-2105, 1471-2105
Online Access:	Get full text
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