Crossref journal-article
Oxford University Press (OUP)
Bioinformatics (286)
Abstract

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

Bibliography

Carbon, S., Ireland, A., Mungall, C. J., Shu, S., Marshall, B., & Lewis, S. (2008). AmiGO: online access to ontology and annotation data. Bioinformatics, 25(2), 288–289.

Authors 8
  1. Seth Carbon (first)
  2. Amelia Ireland (additional)
  3. Christopher J. Mungall (additional)
  4. ShengQiang Shu (additional)
  5. Brad Marshall (additional)
  6. Suzanna Lewis (additional)
  7. (additional)
  8. (additional)
References 3 Referenced 1,640
  1. 10.1016/S0022-2836(05)80360-2 / J. Mol. Biol. / Basic local alignment search tool by Altschul (1990)
  2. 10.1093/bioinformatics/bth456 / Bioinformatics / GO::TermFinder—open source software for accessing Gene Ontology information and finding significantly enriched Gene Ontology terms associated with a list of genes by Boyle (2004)
  3. 10.1038/75556 / Nature Genet / Gene Ontology: tool for the unification of biology by Gene Ontology Consortium (2000)
Dates
Type When
Created 16 years, 9 months ago (Nov. 25, 2008, 8:24 p.m.)
Deposited 2 years, 6 months ago (Jan. 31, 2023, 1:25 p.m.)
Indexed 25 minutes ago (Aug. 26, 2025, 8:21 p.m.)
Issued 16 years, 9 months ago (Nov. 25, 2008)
Published 16 years, 9 months ago (Nov. 25, 2008)
Published Online 16 years, 9 months ago (Nov. 25, 2008)
Published Print 16 years, 7 months ago (Jan. 15, 2009)
Funders 0

None

@article{Carbon_2008, title={AmiGO: online access to ontology and annotation data}, volume={25}, ISSN={1367-4803}, url={http://dx.doi.org/10.1093/bioinformatics/btn615}, DOI={10.1093/bioinformatics/btn615}, number={2}, journal={Bioinformatics}, publisher={Oxford University Press (OUP)}, author={Carbon, Seth and Ireland, Amelia and Mungall, Christopher J. and Shu, ShengQiang and Marshall, Brad and Lewis, Suzanna}, year={2008}, month=nov, pages={288–289} }