NetCooperate>Web
NetCooperate>Web takes as input a pair of metabolic networks and returns the pairwise metrics as well a list of metabolic compounds complementary between the two species. Fill out the form below and hit Analyze Networks to run this analysis on your own data.

A detailed explanation of the input parameters and options is available in the NetCooperate user manual.

Trying it out? Check out our example networks.

Want to incorporate NetCooperate in your custom analysis? Download NetCooperate>Python.

NetCooperate Manual | Examples
Species One
Select your network file to upload.
Maximum size is 10 MB.
The edges of the network can provided as a tab, comma or space-separated list, or as an adjacency matrix of zeros and ones (nonzero elements will be assumed to be a one).
Ignore all nodes except those in the giant component Analyze only the largest connected component in the network, ignoring all other nodes..
Ignore components with fewer than nodes Only analyze connected components in the network with at least this many nodes.
Species Two
Select your network file to upload.
Maximum size is 10 MB.
The edges of the network can provided as a tab, comma or space-separated list, or as an adjacency matrix of zeros and ones (nonzero elements will be assumed to be a one).
Ignore all nodes except those in the giant component Analyze only the largest connected component in the network, ignoring all other nodes..
Ignore components with fewer than nodes Only analyze connected components in the network with at least this many nodes.
Show detailed seed information Have the calculation return the list of seeds that were complemented in the other network.
Visualize the scores on the networks Display the networks to view the interactions contributing to each score.
Nodes are KEGG IDs. In the network visualization, metabolites will link to their entry in the KEGG database.
If you are using NetCooperate please cite the following paper:
Levy et al. NetCooperate: A network-based tool for calculating host-microbe and microbe-microbe cooperation, submitted.
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