Loading network, please wait.



Network selection
Network 1:

Network 2:


Edges

Value:

weights
weights
Weighted edges

Node scaling
No scaling
Scale by targeting
Scale by betweeness

Node selection
No selection

by gene




by GO


by GWAS



Save
as png


    Network information
    A set of networks in normal and cancer tissues have been generated using the same processing pipeline: The normal tissue networks are the ones that were generated in Sonwane et al. and available in the tissues section, and the cancer networks are available in the download section. The processing pipeline can can be accessed in netbooks under "Generating 26 cancer gene regulatory network using TCGA datasets".
    To plot a differential network, first the first network (e.g., cancer) and the second network (e.g., normal tissue) can be selected from the dropdown menu and after clicking submit, the differential network is plotted by the specified parameters. Selecting 'weighted edges' option allows to plot edge thickness by the edge weight. Positive edge weights (network 2 > network 1) are plotted in green and negative edge weights (network 1 > network 2) are plotted in red.
Edge weights table
Source Target Edge weight



Step 1:
Targeting scores
1. Network selection
Network 1:

Network 2:

2. Genes

Value:


Gene selection
No selection

by gene


by GO


by GWAS


3. TFs

Value:




Step 2:
Analysis
Analyze the submitted list of targeted genes/TFs for downstream analysis.

1. Enrichment analysis
Enrich TFs


2. Drug repurposing
By gene By TF



    Network information
    A set of networks in normal and cancer tissues have been generated using the same processing pipeline: The normal tissue networks are the ones that were generated in Sonwane et al. and available in the tissues section, and the cancer networks are available in the downlaod section. The processing pipeline can can be accessed in netbooks under "Generating 26 cancer gene regulatory network using TCGA datasets".
    To plot a differential network, first the first network (e.g., cancer) and the second network (e.g., normal tissue) can be selected from the dropdown menu and after clicking submit, the differential network is plotted by the specified parameters. Selecting 'weighted edges' option allows to plot edge thickness by the edge weight. Positive edge weights (network 2 > network 1) are plotted in green and negative edge weights (network 1 > network 2) are plotted in red.
Gene Targeting score
Gene Targeting score
TF Targeting score
Regulator Targeting score