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

Ref ID: 18333

Author:

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

Author address:

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

Full conference title:

Asperfest 8

Abstract:

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 Number: 11)

Conference Year: 2011

Link to conference website: NULL

New link: NULL

Conference abstracts, posters & presentations

Showing 10 posts of 17325 posts found.

  • Title

    Author

    Year

    Number

    Poster