Given a list of genes known to be associated with a given genetic disease, DiGI predicts and ranks a list of unknown genes based on their probabilities to be related to that disease.

For articles describing the tool and webserver refer to the reference section below. Please cite us when using our tools.
For more information check the help page.

• Dinh Van Tran, Alessandro Sperduti, Rolf Backofen and Fabrizio Costa
  Heterogeneous networks integration for disease gene prioritization with node kernels
  Bioinformatics, 36(9), 2649–2656, 2020.
  
• Martin Raden, Syed M Ali, Omer S Alkhnbashi, Anke Busch, Fabrizio Costa, Jason A Davis, Florian Eggenhofer, Rick Gelhausen, Jens Georg, Steffen Heyne, Michael Hiller, Kousik Kundu, Robert Kleinkauf, Steffen C Lott, Mostafa M Mohamed, Alexander Mattheis, Milad Miladi, Andreas S Richter, Sebastian Will, Joachim Wolff, Patrick R Wright, and Rolf Backofen
  Freiburg RNA tools: a central online resource for RNA-focused research and teaching
  Nucleic Acids Research, 46(W1), W25-W29, 2018.