QuickGO
QuickGO provides access to Gene Ontology (GO) terms and annotations to support analysis, summarization, and interpretation of gene product functions using GO Consortium-curated data.
Key Features:
- Annotation integration: Integrates Gene Ontology (GO) terms with GO Consortium electronic and manual curated annotations for gene products.
- Bulk data download and filtering: Supports bulk export of GO annotation datasets with extensive filtering parameters for tailored data extraction.
- GO slim generation: Produces GO slim sets that provide simplified, high-level representations of the full GO hierarchy.
- Querying and data manipulation: Enables complex queries and data manipulations across GO annotations and terms.
- Large-scale data handling: Supports processing and retrieval workflows suitable for large or high-throughput GO annotation datasets.
Scientific Applications:
- Gene and protein annotation: Assigns GO terms to genes and proteins to characterize molecular functions, biological processes, and cellular components.
- Functional summarization: Uses GO slim sets to summarize complex annotation data at higher levels of the GO hierarchy.
- Hypothesis generation and validation: Provides curated GO annotations for interpretation, hypothesis generation, and validation of experimental results.
- High-throughput and systems biology analyses: Facilitates analysis and interpretation of large-scale datasets in high-throughput and systems biology studies.
Methodology:
Integrates with the Gene Ontology database and GO Consortium annotation groups using electronic and manual annotations, and provides functionality for complex queries, filtering, bulk downloads, and GO slim set generation.
Topics
Collections
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 1/17/2017
- Last Updated:
- 11/24/2024
Operations
Publications
Binns D, Dimmer E, Huntley R, Barrell D, O'Donovan C, Apweiler R. QuickGO: a web-based tool for Gene Ontology searching. Bioinformatics. 2009;25(22):3045-3046. doi:10.1093/bioinformatics/btp536. PMID:19744993. PMCID:PMC2773257.