WebGRO

Key Points

There are large number of protein-protein interactions present in aggregate data and after other proteomics analysis.
Determining influential proteins and protein-protein interactions present in these data is essential for understanding
a disease condition or for therapeutic interventions. Here, we have designed a tool based on R programming that
removes one protein at a time from a large protein-protein interaction complex and determines its influence through
changes in graph modeling calculations before and after each removal. It conducts Leave-one-vertex-out (LOVO) for
influence of each vertex (protein) and Leave-one-edge-out (LOEO) for influence of each edge (protein-protein interactions).
The analysis conducts Principal Component Analysis (PCA) after the primary calculations and produces graphs that
show the role of different graph-modeling parameters in determining the influence.

Please click here for detailed explaination of usage and how this tool works.

File Upload

Please upload your .csv file:   
Please make sure your file is in .csv file format and contains "Source" and "Target" as column names.

User details

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User key:

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