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Amelia Ireland

University of Georgia

ORCID: 0000-0003-1982-9065

Publishes on Bioinformatics and Genomic Networks, Biomedical Text Mining and Ontologies, Semantic Web and Ontologies. 17 papers and 10k citations.

17Publications
10kTotal Citations

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Top publicationsby citations

The Gene Ontology (GO) database and informatics resource
Midori A. Harris, J Clark, Amelia Ireland et al.|Nucleic Acids Research|2003
Cited by 4.7kOpen Access

The Gene Ontology (GO) project (http://www. geneontology.org/) provides structured, controlled vocabularies and classifications that cover several domains of molecular and cellular biology and are freely available for community use in the annotation of genes, gene products and sequences. Many model organism databases and genome annotation groups use the GO and contribute their annotation sets to the GO resource. The GO database integrates the vocabularies and contributed annotations and provides full access to this information in several formats. Members of the GO Consortium continually work collectively, involving outside experts as needed, to expand and update the GO vocabularies. The GO Web resource also provides access to extensive documentation about the GO project and links to applications that use GO data for functional analyses.

AmiGO: online access to ontology and annotation data
Seth Carbon, Amelia Ireland, Chris Mungall et al.|Bioinformatics|2008
Cited by 2.1kOpen Access

Abstract AmiGO is a web application that allows users to query, browse and visualize ontologies and related gene product annotation (association) data. AmiGO can be used online at the Gene Ontology (GO) website to access the data provided by the GO Consortium1; it can also be downloaded and installed to browse local ontologies and annotations.2 AmiGO is free open source software developed and maintained by the GO Consortium. Availability: http://amigo.geneontology.org Download: http://sourceforge.net/projects/geneontology/ Contact: sjcarbon@berkeleybop.org