ApPredict
performs simulations of
drug-induced changes to the cardiac action potential to support the
CiPA initiative.
This activity is a continuation of the ap_predict_online
work -- the aim being to containerise the AP-Portal
.
We're working on the documentation side of things at https://ap-nimbus.readthedocs.io/
node.js application which invokes the simulation software, ApPredict
, monitors
its progress, and returns the results to the calling client (usually
client-direct
).
See: https://hub.docker.com/r/cardiacmodelling/ap-nimbus-app-manager
ApPredict
's prerequisite libraries (e.g. Boost, PETSc, HDF5, etc.).
The foundation upon which ApPredict
can be built and run.
See: https://hub.docker.com/r/cardiacmodelling/appredict-chaste-libs
ApPredict
without uncertainty
emulators, i.e. they'll be downloaded (using wget
) in real-time if required.
See: https://hub.docker.com/r/cardiacmodelling/appredict-no-emulators
ApPredict
with uncertainty
emulators preinstalled. Helpful if using the container behind a corporate proxy.
See: https://hub.docker.com/r/cardiacmodelling/appredict-with-emulators
Submodule containing re-developed Django UI
See: https://hub.docker.com/r/cardiacmodelling/ap-nimbus-client-direct
Test application for Azure durable function invocation of ApPredict
.
https://github.com/CardiacModelling/ap-nimbus-azure-durable-functions
Mongo-based microservice database (for use with app-manager
and
client-direct
).
https://github.com/CardiacModelling/ap-nimbus-datastore
Docker compose
, swarm
configs and kubernetes
testing.