v1.1.0
Application to explore the different Schmidtea mediterranea predicted interactomes. Available at compgen.bio.ub.edu/PlanNET.
At the Computational Genomics Lab we have trained a Random Forest classifier to predict planarian protein-protein interactions by using homology inferences (see link to the published paper).
To see the code used to predict the planarian networks, go to this repository.
PlanNET was made using Django (https://www.djangoproject.com/), neo4j (https://neo4j.com/) and cytoscape js (http://js.cytoscape.org/).
S. Castillo-Lara, J.F. Abril
PlanNET: homology-based predicted interactome for multiple planarian transcriptomes
Bioinformatics, Volume 34, Issue 6, 15 March 2018, Pages 1016–1023, btx738
PlanNET web application to explore the interactomes of Schmidtea mediterranea.
Copyright (C) 2016 Sergio CASTILLO LARA
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