Accessing SCKAN

How to use the SPARC Connectivity Knowledge Base of the Autonomic Nervous System

How do I access SCKAN?

For those interested in exploring some of the connections in SCKAN, a simple UI called SCKAN Explorer is at https://services.scicrunch.io/sckan/explorer/

Latest release: SCKAN release at Zenodo

Example queries:

Querying the SPARC Connectivity Knowledge Base of the Autonomic Nervous system (SCKAN) can be done programmatically using Cypher or SPARQL. We have created a containerized version of SCKAN that can be downloaded and installed locally along with the necessary documentation. We highlight how to use SCKAN in some example queries, but you can access all the information in SCKAN using this package. See the SCKAN Release page for more information about what is contained in the package.

We continue to develop new queries and welcome the submission of new queries. If you would like to request an addition, please submit your request for new queries.

SCKAN releases will be available in Zenodo on a quarterly basis (March, June, September, December). Each release will include a Docker container with the body of connections in the first release along with new connections that have been added to meet the needs of SPARC over the past quarter. We will specify circuits and general connectivity in each release, as well as identify areas that are not included.

  • A circuit in SCKAN covers an anatomical or functional system. It contains detailed topological information about neuron populations and where they travel. It is bounded and aims to be comprehensive within that circuit. These are derived from expert input that are then encoded into ApiNATOMY models. The creation of these circuit models is overseen by the SPARC Anatomy Working Group (SAWG), for information about the process and an example image of such a circuit, learn more about SAWG's ApiNATOMY.

  • Individual connections in SCKAN have been extracted from the literature or textbooks to fill in gaps that are not represented in the circuits. They are generally high level, reflecting general knowledge on ANS connectivity and in contrast to the circuits, they do not contain detailed topological information. These are modeled using The Neuron Phenotype Ontology (NPO).

The release will also include sample queries and we welcome requests for future queries you would like to have added to SCKAN.