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GeneFuncster: A Web Tool for Gene Functional Enrichment Analysis and Visualisation

Asta Laiho, Andras Kiraly, Attila Gyenesei, GeneFuncster: A Web Tool for Gene Functional Enrichment Analysis and Visualisation. In: D. Gilbert, M. Heiner (Eds.), CMSB 2012, LNCS 7605, 382–385, Springer-Verlag Berlin Heidelberg , 2012.

Abstract:

During the last decade, many freely available tools have been developed for the functional enrichment analysis of gene lists. Most tools available concentrate on comparing short filtered gene lists to background gene list while others can work on longer input lists of ranked genes to detect functional categorizations enriched at the top of the ranked list. Various different functional annotation databases can be analysed for functional enrichment, Gene Ontologies (GO) and KEGG pathways (Ky- oto Encyclopedia of Genes and Genomes) as the most commonly used. Some tools enable the visual representation of GO enrichment results in the context of the GO hierarchy graph and others visualise the KEGG enrichment results in the context of the official KEGG pathway maps by colouring the affected genes in the maps. To analyse the functional enrichment in both the short filtered gene lists and full unfiltered gene lists towards both GO and KEGG and get a comprehensive result visual- isation for both databases, one currently needs to use several tools with different input requirements. GeneFuncster is a tool that provides all of this functionality in a simple publicly available web application based on the underlying popular R/Bioconductor analysis packages, with the emphasis on the result visualisation within biological context.

BibTeX entry:

@INPROCEEDINGS{inpLaKiGy12a,
  title = {GeneFuncster: A Web Tool for Gene Functional Enrichment Analysis and Visualisation},
  booktitle = {CMSB 2012, LNCS 7605},
  author = {Laiho, Asta and Kiraly, Andras and Gyenesei, Attila},
  editor = {Gilbert, D. and Heiner, M.},
  publisher = {Springer-Verlag Berlin Heidelberg },
  pages = {382–385},
  year = {2012},
}

Belongs to TUCS Research Unit(s): Other

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