ECoG ClusterFlow specifications

Information


Unique identifier OMICS_19298
Name ECoG ClusterFlow
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
Computer skills Advanced
Version 1.0.1
Stability Stable
Source code URL https://codeload.github.com/sugeerth/ECoG-ClusterFlow/tar.gz/1.0.1
Maintained Yes

Versioning


Add your version

Maintainer


  • person_outline Sugeerth Murugesan <>

Publication for ECoG ClusterFlow

ECoG ClusterFlow institution(s)
Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Department of Neurological Surgery, UCSF, San Francisco, CA, USA; Department of Computer Science, University of California, Davis, CA, USA
ECoG ClusterFlow funding source(s)
Supported by the Director, Office of Science, Office of Advanced Scientific Computing Research, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 through the Office of Advanced Scientific Computing Research project “Towards Exascale: High Performance Visualization and Analytics Program,” program manager Lucy Nowell and the Lawrence Berkeley National Laboratory Laboratory-Directed Research and Development (LDRD) project “Revealing Dynamics of the Functional Connectome”.

ECoG ClusterFlow reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review ECoG ClusterFlow