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Getting Started with KG-UI

KG-UI is a knowledge graph user interface that can be used as a frontend for Neo4j knowledge graph databases bioinformatics applications. Below is a set of Jupyter notebooks to guide you through the process:

To run the interface locally, run the following commands:

npm run dev
# or
yarn dev

Open http://localhost:3000 with your browser to see the result.

Deployment

npm version <major/minor/patch>

Kubernetes installation

Install

helm install maayanlab/docker-compose -f <(docker-compose config) -n --create-namespace

Upgrade

helm upgrade maayanlab/docker-compose -f <(docker-compose config) -n

helm template maayanlab/docker-compose -f <(docker-compose config) -n

Legacy Version

docker-compose -f docker-compose-legacy.yml build

Customizing the UI

For more information about customizing the user interface, see examples from this repo.

video tutorials

Part 1 - Knowledge Graphs Part 2 - Neo4j Part 3 - Serialization Part 4 - Cypher Part 5 - Setting Up UI