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.

• 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.
  

Results are computed with DiGI version 1.0.0

List of disease-associated genes to extend formatted according to HUGO Gene Nomenclature Committee (HGNC)

The parameter constraints are: Number of non-empty entries has to be in range [10,500]. Supported entries can be found in genes-supported-by-DiGI-webserver.txt
Defaults to ()

The minimum clique size to consider.

The parameter constraints are: Input value has to be parsable as Integer.
Defaults to ( 4)

The node degree threshold used for network decomposition procedure. The network achieved after decomposing will have no nodes whose degrees are greater or equal the threshold.

The parameter constraints are: Input value has to be parsable as Integer.
Defaults to ( 10)

The maximum value for distance parameter of CDNK kernel.

The parameter constraints are: Input value has to be parsable as Integer.
Defaults to ( 2)

The maximum value for radius parameter of CDNK kernel.

The parameter constraints are: Input value has to be parsable as Integer.
Defaults to ( 1)

DiGI returns a list of genes (not covered by the input) that are ranked in descending order by their predicion to be connected to the genes from input list. That is to be all associated with some disease. By clicking on the gene of interest in the ranking, we are shown i) the sorted neighborhoods regarding the gene in each data source and ii) the information of the gene described in HGNC website. In case, some input genes could not be processed by our tool, they will be listed at the end of the output page.

some test input

The example's result can be directly accessed here