New resources for functional analysis of omics data for the genus Aspergillus.

B.M. Nitsche 1, A.F.J. Ram 1,2, V. Meyer 1,2, J.R. Wortman 3 1

Author address: 

Institute of Biology, Leiden University Sylviusweg 72, 2333 BE Leiden, the Netherlands, 2 Kluyver Centre for Genomics of Industrial Fermentation, Sylviusweg 72, 2333 BE Leiden, the Netherlands and 3 Department of Medicine Institute for Genome Scienc


Detailed and comprehensive genome annotation can be considered a prerequisite for effective analysis and dissection of omics data. As such, Gene Ontology (GO) annotation has become a well-accepted framework for functional annotation. The genus Aspergillus comprises fungal species that are important model organisms, plant and human pathogens as well as industrial workhorses. GO annotation based on computational prediction and manual curation has so far only been available for one of its species, namely A. nidulans. Based on protein homology and synteny, we have mapped 97% of the 3,498 A. nidulans GO annotated genes to at least one of seven other Aspergillus species: A. niger, A. fumigatus, A. flavus, A. clavatus, A. terreus, A. oryzae and Neosartorya fischeri. Furthermore, we developed the web application FetGOat, which can be used to perform GO enrichment analysis for eight Aspergillus species. We have benchmarked the newly mapped GO annotation and the web application FetGOat by analyzing two recently published microarray datasets and comparing the results to those obtained with two freely available analysis tools, Blast2GO and GSEA.

abstract No: 


Full conference title: 

26th Fungal Genetics Conference
    • Fungal Genetics Conference 26th (2005)