Software

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GitHub page

 
 
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Bitbucket page
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Multilayer Networks Library

example1
Main features

  • Pure Python
  • Can handle general multilayer networks
  • Multilayer networks and multiplex networks (with automatically generated lazy-evaluation coupling edges)
  • Functionality: Analysis, transformations, reading and writing networks, network models etc.
  • Visualization (using Matplotlib or D3)
  • Integration with NetworkX for monoplex network analysis

Get it from Bitbucket.

Documentation

Tutorial


EDENetworks

dmwindow
EDENetworks is an easy to use tool for analysing genetic networks. It allows researchers to use the tools from complex networks science to analyse genetic data using a user friendly graphical interface. You can study both individual level or population level networks by giving either a genetic marker file or a distance matrix as an input.

Visit the EDENetworks website.