HGC

HGC: biological distance between any two human genes, based on protein-protein interactions and shortest-path calculations. It is used to prioritize candidate genes for likely disease causality based on their biological distance or p-value to genes known to cause the disease of interest.

Input: a list of core genes with known biological/clinical impact, a list of candidate genes of interest, and the sorting method for the core-candiate gene pairs. (Note, limit each gene list < 100 genes)
Output: HGC core-candiate gene pairs, with their biological distance, p-value, rank, and route. (Note, the gene pairs with p-value > 0.05 will be omitted)
Reference:
Itan Y, et al. The human gene connectome as a map of short cuts for morbid allele discovery. PNAS. 2013.
Itan Y, et al. HGCS: an online tool for prioritizing disease-causing gene variants by biological distance. BMC Genomics. 2014.