Co-expression Network

Visualize gene co-expression or interaction relationships as a circular network. Edge width encodes connection strength; node size encodes connectivity (degree).

Visualization Parameters

Upload your data and generate the co-expression network

Upload Data File

TSV/CSV edge list: Node1, Node2, optional Weight

Required Files

edges.tsv — edge list: Node1, Node2, optional Weight (e.g., correlation)

Format

Row = one interaction / co-expression edge
Node1 / Node2: the two connected genes
Weight (optional): edge strength, defaults to 1
Very large inputs are trimmed: top 500 edges, top 60 nodes by degree

Example Data

Node1	Node2	Weight
UCP1	G013	0.79
UCP1	G007	0.94
UCP1	G003	0.93
UCP1	G016	0.61

Co-expression Network

Upload data and click Generate, or run with example data

Documentation

Input format: an edge list with Node1, Node2 and an optional Weight column (e.g., WGCNA adjacency or correlation).

Output: circular layout; edge width and opacity scale with weight; node size scales with degree. Inputs are capped at 500 edges / 60 nodes for readability.

Typical use: display hub genes and their partners from co-expression modules in the Multi-omics workflow.