Human cancer regulatory network

(beta version)

To search, please enter frequency score, absolute coef, max node number, and gene IDs or symbols based on GRCh38.p2.v22.

Each gene id must be separated by comma, for example, ENSG00000229417.1, NPM1P25

For clear illustration purposes, the max_number of entered genes is 5, and please limit the max_node number (e.g. 50 to show top 50 most important nodes)

Network annotation: 1) Node color denotes gene category, lightGreen, blue, pink, red, lightSkyBlue respectively denotes protein_coding, antisenseRNA, lincRNA, processed-pseudogene, other. 2) Edge color represents regulation strength: red, pink, blue, lightSkyBlue, and lightGray respectively represents strong positive, middle positive, strong negative, middle negative and week regulation(positive or negative). 3)Edge thickness denotes confidence, thicker, more confident.

References

Anyou Wang and Rong Hai .2019. Big-data analysis unearths the general regulatory regime in normal human genome and cancer.Full txt and figures in pdf Wang, A. & Hai, R. FINET: Fast Inferring NETwork. BMC Res Notes 13, 521 (2020). https://doi.org/10.1186/s13104-020-05371-0 Anyou Wang and Rong Hai .2020. Distinctive functional regime of endogenous lncRNAs in dark regions of human genome.bioRxiv 2020.12.06.413880