A repository for the Playbook Workflow Builder project.
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Updated
Jun 15, 2024 - TypeScript
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.
A repository for the Playbook Workflow Builder project.
A collection of metadata, tools, and files associated with the Gene Ontology public web presence.
Source ontology files for the Gene Ontology
A web interface for ontology-based protein network visualization.
Python library to handle Gene Ontology (GO) terms
python library for working with ontologies and ontology associations
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
Protein function prediction through latent tensor reconstruction
A powerful abstraction of gene databases
⛳ GO-terms Semantic Similarity Measures
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
Basic and Advanced OBO Graphs: specification and reference implementation
Released 1999