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Identify optimal scoring subnetwork (version 1.0)
The file should contain two columns: the node identifier (e.g. gene) and the corresponding Heinz score
In this file, two nodes define one edge, one edge per line

Note: You are currently using a version of Heinz based on IBM CPLEX Community version, which is limiting the capacity of Heinz in handling big networks. For an unlimited version of Heinz, you need to get a license of IBM CPLEX and compile Heinz from scratch from here https://github.com/ls-cwi/heinz. We are currently looking for an alternative to IBM CPLEX in Heinz to make an unlimited version of Heinz available to the public as soon as possible.

Score file --- the output file of the tool "Calculate Heinz scores": two columns delimited by a tab without headers, the first column is node identifier (e.g., genes, KEGG ORTHOLOGY (KO)); the second, Heinz score.

BRCA2 -6.991782933819368
BRCA1 -5.206139799106934
AACS -0.9299868303078357
ABCC11 -5.845009850430119

Edge file: the background network Heinz uses in the form of a list of edges; each line is made up of two node identifiers (e.g., genes, KEGG ORTHOLOGY (KO)) delimited by a tab. In practice, we could prepare this file using different pathway databases, such as Reactome, STRING and KEGG. Which database to choose depends on the question to solve.

ACTR1B ACVR2B
ZSWIM9 FOXP3
LGALS4 PRKX
NPTX1 CIAO1