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8 wrz 2024 · Tools to curate, browse, search, visualize and download both the ontology and annotations. Includes bioinformatic guides (Notebooks) and simple API access to integrate the GO into your research.
- Ontology
Gene Ontology overview. The Gene Ontology (GO) is a...
- Who We Are
Who we are. The Gene Ontology Consortium is a large,...
- Search Documentation
The Gene Ontology (GO) project is a major bioinformatics...
- Collaborations
Collaborations The GO Consortium collaborates with many...
- Scientific Literature
The Gene Ontology and the scientific literature. GO...
- About
In December 2022, the GBC announced their first set of...
- Download GO-CAMs
Download Causal Activity Models GO-CAM download links....
- Download Annotations
Download annotations Getting annotations for a selected...
- Ontology
Annotation Pro is a software tool freely available for research and education purposes and can be used free of charge for these needs on condition that the copyright notice is kept. The software does not carry any warranty.
To use the media creation tool, visit the Microsoft Software Download Windows 10 page from a Windows 7, Windows 8.1 or Windows 10 device. You can use this page to download a disc image (ISO file) that can be used to install or reinstall Windows 10.
8 lis 2018 · In this update, we summarize the current contents of the GO knowledgebase, and present several new features and improvements that have been made to the ontology, the annotations and the tools.
Using the GO enrichment analysis tools. 1. Paste or type the names of the genes to be analyzed, one per row or separated by a comma. The tool can handle both MOD specific gene names and UniProt IDs (e.g. Rad54 or P38086). 2.
8 lis 2018 · We have created a completely new PANTHER GO-slim and associated annotations, and improved the PANTHER Protein Class for protease and protease inhibitor families. In the gene list analysis tools, we have developed additional software to enable users to easily analyze lists from over 900 genomes (up from 104 in our last update).
This project uses the gene family phy-logeny to integrate disparate experimentally-derived GO functional annotations across related genes. For each fam-ily, a curator creates an explicit model of gain and loss of functions over specific branches of the tree, such that the model matches the experimental data.