Co-expression Network Analysis

Interactive visualization of gene co-expression networks, expression and funtional enrichment analysis.

📊 Global Network of g5093.t1
Network Legend
Yellow: Query proteins
Green: Interaction proteins
Pink line: Own interaction + positive co-expression
Blue line: Own interaction + negative co-expression
Node size reflects how many connections the gene has (hubs are drawn larger). Hover any node to see the annotation of the gene it stands for (PANTHER / InterPro / GO description, or NR when the others are absent) and a link to its gene page.
📋 View Detailed Network Information
Co-expressed Genes of g5093.t1
Gene ID Description PCC Relationship
g5093.t1NFATC2-INTERACTING PROTEIN1positive
g6214.t1PROPROTEIN CONVERTASE SUBTILISIN/KEXIN-RELATED0.87positive
g11383.t1UNCHARACTERIZED0.85positive
g21787.t1PROTEIN TORNADO 10.85positive
g24061.t1SGT1 PROTEIN HSGT1 SUPPRESSOR OF GCR20.84positive
g11639.t1RAPSYN-RELATED0.82positive
g4430.t1SPERM SPECIFIC ANTIGEN 2-RELATED0.81positive
g27989.t1--0.79positive
g35597.t1MOLTING PROTEIN MLT-40.77positive
g18361.t1TB1 PROTEIN-RELATED0.76positive
Further Analysis for Network Members
Next Step: Dynamic Expression View

What this does. Everything above treats every gene the same way. Dynamic Expression View redraws this same network but colours each node by how much that gene changes between two conditions, so you can see which part of the network responds. It needs one input the network itself does not carry: a per-gene expression ratio.

Where the ratio comes from. CnidoSite holds an RNA-seq expression matrix for this species, so the ratio can be built here rather than elsewhere: pick the samples for each side of your comparison and every gene gets log2((mean of group A + 1) / (mean of group B + 1)). This network has 23 gene pairs and one run of Dynamic Expression View draws at most 10, so the button below carries the 10 with the strongest |PCC|.

Gene pairs carried over (10)
Opens the ratio builder with these pairs already loaded. It computes the ratios, then hands both the pairs and the ratios to the network view in one step.
Or take the pairs by hand
Click to select all, then paste into step 2 of Dynamic Expression View as GeneA GeneB, one pair per line. Its step 3 still needs the expression ratios.
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