ANANSE: ANalysis Algorithm for Networks Specified by Enhancers

Prediction of key transcription factors in cell fate determination using enhancer networks

ANANSE is a computational approach to infer enhancer-based gene regulatory networks (GRNs) and to identify key transcription factors between two GRNs. You can use it to study transcription regulation during development and differentiation, or to generate a shortlist of transcription factors for trans-differentiation experiments.

ANANSE is written in Python and comes with a command-line interface that includes 3 main commands: ananse binding, ananse network, and ananse influence. A graphical overview of the tools is shown below.

Check out the ANANSE documentation for

• installation instructions
• command explanations
• input explanations and examples
• usage examples
• FAQ
• and more!

For documentation on the development version see here.

Citation

ANANSE: an enhancer network-based computational approach for predicting key transcription factors in cell fate determination Quan Xu, Georgios Georgiou, Siebren Frölich, Maarten van der Sande, Gert Jan C Veenstra, Huiqing Zhou, Simon J van Heeringen Nucleic Acids Research, gkab598, https://doi.org/10.1093/nar/gkab598

Help and Support

• The preferred way to get support is through the Github issues page.

License

• MIT license
• Copyright 2020 © vanheeringen-lab.