The Gene Ontology in 2010: extensions and refinements

By T. Berardini, Donghui Li, E. Huala, Susan M. Bridges, S. Burgess, F. McCarthy, S. Carbon, Suzanna Lewis, C. Mungall, A. Abdulla and 120 more. Nucleic Acids Res., 2009

456 citations recorded by the source corpus.

The Gene Ontology (GO) Consortium (http://www.geneontology.org) (GOC) continues to develop, maintain and use a set of structured, controlled vocabularies for the annotation of genes, gene products and sequences. The GO ontologies are expanding both in content and in structure. Several new relationship types have been introduced and used, along with existing relationships, to create links between and within the GO domains. These improve the representation of biology, facilitate querying, and allow GO developers to systematically check for and correct inconsistencies within the GO. Gene product annotation using GO continues to increase both in the number of total annotations and in species coverage. GO tools, such as OBO-Edit, an ontology-editing tool, and AmiGO, the GOC ontology browser, have seen major improvements in functionality, speed and ease of use.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/777de71befd717d327c5c5421da4c94c33347023

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. John C. Wooley
2. Weizhong Li
3. Yaling Nie
4. Jingkai Yu
5. Eric E. Allen
6. Sitao Wu
7. Johannes Söding
8. Adam Godzik

Citations in the corpus

• Mining breast cancer genes with a network based noise-tolerant approach (2013, background): “For instance, GO is a powerful tool which provides a controlled vocabulary to describe biological functions on multiple levels [33].”