openCARP is an open cardiac electrophysiology simulator for in-silico experiments. Its source code is public and the software is freely available for academic purposes. openCARP is easy to use and offers single cell as well as multiscale simulations from ion channel to organ level. Additionally, openCARP includes a wide variety of functions for pre- and post-processing of data as well as visualization. The python-based CARPutils framework enables the user to develop and share simulation pipelines, i.e. automating in-silico experiments including all modeling/simulation steps.
Interested in beta-testing? Please contact Gunnar Seemann
Following the sucess of the CARPentry user meetings in 2017 in Graz and 2018 in Bordeaux, we are planning an openCARP user meeting in May/June 2020 in Freiburg, Germany. We are going to be partly two-tracked this time to offer basic training for openCARP newcomers and a hackathon for advanced users. Stay informed and subsribe to our newsletter!
The implementation of openCARP builds on two decades of experience gained from the proprietary predecessors, the Cardiac Arrhythmia Research Package (CARP) developed by Ed Vigmond and Gernot Plank and acCELLerate developed by Gunnar Seemann and Axel Loewe. Both simulators have been used in 300+ scientific studies. Gunnar Seemann (Freiburg, Germany) and Axel Loewe (Karlsruhe, Germany) received funding from the German Research Foundation (DFG) to develop a sustainable cardiac simulator. They asked Ed Vigmond (Bordeaux, France) and Gernot Plank (Graz, Austria) to join forces which they agreed to in March 2018. Since then, we are developing openCARP and will release the first version in March 2020. Beside the four group leaders, our core developer Aurel Neic joined the openCARP steering committee in November 2019.
To ensure input compatibility with CARP/CARPentry allowing to reproduce a larger number of published studies, the user interface of openCARP has been designed to be backwards compatible, thus facilitating the re-use and replication of a large number of previous studies and carefully crafted in silico experiments. The underlying code basis has been redeveloped from scratch. As this software is a community project, you are welcome to contribute.
Our aim is to increase the productivity in our research field. We believe that you should invest your time in actually solving a scientific problem (rather than spending your precious time developing yet another simulator). With openCARP, you can import CellML-based EP models to avoid error-prone and time-demanding manual implementation. Additionally, we will offer the service to upload in silico experiments (based on CARPutils) of your published studies to share it with your colleagues for a more transparent and better reproducable cardiac modeling research.
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