Results 31 to 40 of about 7,457,987 (378)
Mining Gene Ontology Data with AGENDA
Bioinformatics and Biology Insights, 2012 The Gene Ontology (GO) initiative is a collaborative effort that uses controlled vocabularies for annotating genetic information. We here present AGENDA ( A pplication for mining Gen e Ontology Da ta), a novel web-based tool for accessing the GO database.
Martin C. Göpfert +2 more
doaj +2 more sources
GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data [PDF]
, 2016 Background: Identification of gene expression profiles that differentiate experimental groups is critical for discovery and analysis of key molecular pathways and also for selection of robust diagnostic or prognostic biomarkers.
Gordon, SV +7 more
core +4 more sources
The Infectious Disease Ontology in the Age of COVID-19 [PDF]
, 2021 The Infectious Disease Ontology (IDO) is a suite of interoperable ontology modules that aims to provide coverage of all aspects of the infectious disease domain, including biomedical research, clinical care, and public health.
Babcock, Shane +3 more
core +1 more source
Cross-Ontology multi-level association rule mining in the Gene Ontology. [PDF]
PLoS ONE, 2012 The Gene Ontology (GO) has become the internationally accepted standard for representing function, process, and location aspects of gene products. The wealth of GO annotation data provides a valuable source of implicit knowledge of relationships among ...
Prashanti Manda +4 more
doaj +1 more source
Summary Visualisations of Gene Ontology Terms with GO-Figure!
bioRxiv, 2020 The Gene Ontology (GO) is a cornerstone of functional genomics research that drives discoveries through knowledge-informed computational analysis of biological data from large- scale assays.
M. Reijnders, Robert M. Waterhouse
semanticscholar +1 more source
REVIGO Summarizes and Visualizes Long Lists of Gene Ontology Terms
PLoS ONE, 2011 Outcomes of high-throughput biological experiments are typically interpreted by statistical testing for enriched gene functional categories defined by the Gene Ontology (GO).
F. Supek +3 more
semanticscholar +1 more source
Evaluating Computational Gene Ontology Annotations [PDF]
, 2016 ISBN:978-1-4939-3743 ...
Škunca, Nives +2 more
openaire +3 more sources
GOLEM: an interactive graph-based gene-ontology navigation and analysis tool
BMC Bioinformatics, 2006 Background The Gene Ontology has become an extremely useful tool for the analysis of genomic data and structuring of biological knowledge. Several excellent software tools for navigating the gene ontology have been developed.
Huttenhower Curtis +4 more
doaj +1 more source
Controlled vocabularies in bioinformatics: A case study in the Gene Ontology [PDF]
, 2004 The automatic integration of information resources in the life sciences is one of the most challenging goals facing biomedical informatics today. Controlled vocabularies have played an important role in realizing this goal, by making it possible to draw ...
Anand Kumar +11 more
core +1 more source
Bioinform., 2009 Summary: We have developed ClueGO, an easy to use Cytoscape plug-in that strongly improves biological interpretation of large lists of genes. ClueGO integrates Gene Ontology (GO) terms as well as KEGG/BioCarta pathways and creates a functionally ...
G. Bindea +9 more
semanticscholar +1 more source