ActionPotential specifications

Information


Unique identifier OMICS_22874
Name ActionPotential
Alternative names ApPredict, Action Potential prediction on line, AP-portal, ActionPotential-Portal
Interface Web user interface
Restrictions to use None
Input data A simple concentration-response curve.
Output data A summary graph.
Programming languages C++
License BSD 3-clause “New” or “Revised” License
Computer skills Basic
Stability Stable
Registration required Yes
Maintained Yes

Download


Documentation


Maintainers


  • person_outline Gary Mirams <>
  • person_outline Geoff Williams <>

Additional information


https://figshare.com/articles/Action_Potential_Prediction_Web_Portal_Documentation/1039436 https://bitbucket.org/gef_work/ap_predict_online http://apportal.readthedocs.io/en/latest/

Information


Unique identifier OMICS_22874
Name ActionPotential
Alternative names ApPredict, Action Potential prediction on line, AP-portal, ActionPotential-Portal
Software type Application/Script
Interface Graphical user interface
Restrictions to use None
Input data A simple concentration-response curve.
Output data A summary graph.
Operating system Unix/Linux
Programming languages C++
License BSD 3-clause “New” or “Revised” License
Computer skills Medium
Version 3.4
Stability Stable
Requirements Chaste
Maintained Yes

Download


Versioning


Add your version

Documentation


Maintainers


  • person_outline Gary Mirams <>
  • person_outline Geoff Williams <>

Additional information


https://figshare.com/articles/Action_Potential_Prediction_Web_Portal_Documentation/1039436 https://bitbucket.org/gef_work/ap_predict_online http://apportal.readthedocs.io/en/latest/

Publication for ActionPotential

ActionPotential institution(s)
Computational Biology, Dept. of Computer Science, University of Oxford, Oxford, UK
ActionPotential funding source(s)
Supported by an EPSRC and NC3Rs Mathematics in Toxicology Strategic Award (NC/K001337/1), an EPSRC Impact Acceleration Account Award (EP/K503769/1) and by a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (Grant Number 101222/Z/13/Z).

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