KG-Registry

Infores ID

infores:go-cam

FAIRsharing ID

Unknown

Product Summary

Contacts

Christopher J. Mungall

ORCID: 0000-0002-6601-2165

Github: cmungall

Gene Ontology Consortium

Email: go-helpdesk@geneontology.org

URL: http://geneontology.org/

Publications

Gene Ontology Causal Activity Modeling (GO-CAM) moves beyond GO annotations to structured descriptions of biological functions and systems Preferred

Products

From this Resource

ID	Name	URL	Category	Format	Description
go-cam.noctua	Noctua	noctua.geneontology.org	Graphical Interface	http	Web-based tool for collaborative edit...
go-cam.browser	GO-CAM Browser	go-cam	Graphical Interface	http	Web interface for browsing, searching...
go-cam.model	GO-CAM Model Format	noctua-models	Data Model	rdfxml	RDF-based format for representing cau...
go-cam.linkml-schema	GO-CAM LinkML Schema	gocam.yaml (7.6 KB)	Data Model	yaml	LinkML YAML schema for representing G...
go-cam.api	GO-CAM API	api.geneontology.org	Programming Interface	http	Programmatic access to GO-CAM models ...
go-cam.minerva	Minerva	minerva	Process	java	Server-side component for storing, va...

From other Resources

ID	Name	URL	Category	Format	Relation	Description
translator.go_cam.graph	Translator GO-CAM KGX Graph	latest	Graph	kgx-jsonl	had primary source	KGX JSONL graph package for GO-CAM di...
translator.translator_kg.graph	Translator Aggregate KGX Graph	latest	Graph	kgx-jsonl	had primary source	Aggregated KGX JSONL graph package co...

Details

GO-CAM provides a structured framework for integrating Gene Ontology annotations into computable models of biological functions. Unlike standard GO annotations, which link individual gene products to GO terms, GO-CAM models connect multiple annotations to form causal networks that describe biological processes in greater detail. These models enable richer pathway and network analyses and support automated reasoning over biological knowledge.

Overview

GO-CAM (Gene Ontology Causal Activity Modeling) extends the traditional Gene Ontology annotation paradigm to create causal networks that represent molecular activities and their relationships within biological systems. Each GO-CAM model represents a biological pathway or process as an interconnected set of molecular activities.

Features and Components

Causal Models: Connects molecular activities in causal chains, showing how one activity leads to another
Molecular Context: Specifies cellular locations where activities occur
Molecular Functions: Integrates standard GO molecular function terms
Biological Processes: Associates activities with broader biological processes
Evidence: Links each assertion to supporting evidence codes and literature references

Tools and Access

Noctua: Web-based collaborative editor for creating and modifying GO-CAM models
GO-CAM Browser: Platform for exploring, searching, and visualizing the complete set of GO-CAM models
Minerva: Backend system providing model storage, validation, and reasoning capabilities
API Access: Programmatic access to models through the Gene Ontology API

Applications

GO-CAM models are used for:

Pathway modeling and visualization
Systems biology analyses
Hypothesis generation about molecular mechanisms
Comparative analyses across species
Data integration from multiple experimental sources

Browse the GO-CAM model repository at GO-CAM Public Site.

go-cam

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Homepage

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