Source ontology files for the Gene Ontology
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Updated
Jul 19, 2024 - Makefile
The mission of the GO Consortium is to develop a comprehensive, computational model of biological systems, ranging from the molecular to the organism level, across the multiplicity of species in the tree of life.
The Gene Ontology (GO) knowledgebase is the world’s largest source of information on the functions of genes. This knowledge is both human-readable and machine-readable, and is a foundation for computational analysis of large-scale molecular biology and genetics experiments in biomedical research.
Source ontology files for the Gene Ontology
A collection of metadata, tools, and files associated with the Gene Ontology public web presence.
A web interface for ontology-based protein network visualization.
python library for working with ontologies and ontology associations
A repository for the Playbook Workflow Builder project.
A tool to predict protein functions (Gene Ontology) via protein-protein and ontology networks
Schema and generated objects for biolink data model and upper ontology
Python library to handle Gene Ontology (GO) terms
Protein function prediction through latent tensor reconstruction
A powerful abstraction of gene databases
⛳ GO-terms Semantic Similarity Measures
Basic and Advanced OBO Graphs: specification and reference implementation
Analysis of single and comparative transcriptomes
molecular graph representation
The Gene Ontology Helpdesk
Measuring gene pleiotropy through Gene Ontologies and Protein Interactions
DESeq2 Analysis and visualization of specific genes, notably Pasilla. Script aims to identify and filter differentially expressed genes and neatly store the results. The project also includes Gene Ontology (GO) and Kegg pathway analyses, providing insights into the biological processes affected by the Pasilla gene depletion.
RNA-seq pipeline to identify wasp-induced gene expression in Drosophila
Released 1999