MCCP stands for Metabolite-mediated Cell-cell Communication Portal. It integrates scRNA-seq atlas to map metabolite mediated cell-cell communications (mCCC) in different tissues, therefore, it facilitates new hypothesis generation and interesting discoveries for metabolite signaling using public scRNA-seq datasets.

MEBOCOST stands for Metabolic Cell-Cell Communication Analysis by Single Cell Transcriptome, which is a Python-based computational tool for inferring metabolic cell-cell communications using single-cell RNA-seq data. Briefly, in the first step, MEBOCOST imputes the activity of metabolite biosysthesis pathways and consuming pathways using metabolic enzymes. The genes of enzymes were collected from Human Metabolome Database (HMDB). Next, MEBOCOST identify significant communication events between sender and receiver cells for those the senders have highly activate metabolite biosythesis pathway, meanwhile, receivers have highly expressed sensors to the metabolite.

A collection and visualization of public human and mouse ChIP-seq / DNase-seq / ATAC-seq data. You can search the published epigenomics datasets with uniformed processing with interesting downstream analysis, including quality control, peak distribution, putative target genes, and motif enrichment.

A web-based toolkit allows you to fully use CistromeDB dataset by anwsering three questions: (1) What factors target your gene of interest? (2) What factors bind in your interval? (3) What factors have a significant binding overlap with your peak set?