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The Gene Ontology Annotation (GOA) Database: sharing knowledge in Uniprot with Gene Ontology [PDF]

open access: yesNucleic Acids Research, 2004
The Gene Ontology Annotation (GOA) database (http://www.ebi.ac.uk/GOA) aims to provide high-quality electronic and manual annotations to the UniProt Knowledgebase (Swiss-Prot, TrEMBL and PIR-PSD) using the standardized vocabulary of the Gene Ontology (GO).
Evelyn Camon   +9 more
openaire   +2 more sources

Multi-label literature classification based on the Gene Ontology graph

open access: yesBMC Bioinformatics, 2008
Background The Gene Ontology is a controlled vocabulary for representing knowledge related to genes and proteins in a computable form. The current effort of manually annotating proteins with the Gene Ontology is outpaced by the rate of accumulation of ...
Lu Xinghua   +3 more
doaj   +1 more source

The Gene Ontology in 2010: extensions and refinements.

open access: yes, 2010
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
Gene, Ontology Consortium
core   +1 more source

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

open access: yesMolecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge   +17 more
wiley   +1 more source

A Gene Ontology Tutorial in Python [PDF]

open access: yes, 2016
This chapter is a tutorial on using Gene Ontology resources in the Python programming language. This entails querying the Gene Ontology graph, retrieving Gene Ontology annotations, performing gene enrichment analyses, and computing basic semantic similarity between GO terms.
Vesztrocy, AW, Dessimoz, C
openaire   +4 more sources

Defining functional distances over Gene Ontology

open access: yesBMC Bioinformatics, 2008
Background A fundamental problem when trying to define the functional relationships between proteins is the difficulty in quantifying functional similarities, even when well-structured ontologies exist regarding the activity of proteins (i.e.
del Pozo Angela   +2 more
doaj   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

On gene ontology and function annotation [PDF]

open access: yesBioinformation, 2006
The effort of function annotation does not merely involve associating a gene with some structured vocabulary that describes action. Rather the details of the actions, the components of the actions, the larger context of the actions are important issues that are of direct relevance, because they help understand the biological system to which the gene ...
openaire   +2 more sources

Extending gene ontology with gene association networks [PDF]

open access: yesBioinformatics, 2015
Abstract Motivation: Gene ontology (GO) is a widely used resource to describe the attributes for gene products. However, automatic GO maintenance remains to be difficult because of the complex logical reasoning and the need of biological knowledge that are not explicitly represented in the GO.
Jiajie Peng   +4 more
openaire   +2 more sources

MEGO: gene functional module expression based on gene ontology

open access: yesBioTechniques, 2005
Existing analysis tools to study the collective properties of gene functional modules cannot return highly homogeneous modules and do not provide quantitative measures of module activity level.
Kang Tu, Hui Yu, Mingzhu Zhu
doaj   +1 more source

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