The Price lab is building cell- and tissue-specific metabolic models based on transcriptomic data using our recently developed method – metabolic Context-specificity Assessed by Deterministic Reaction Evaluation (mCADRE). The key innovation of the mCADRE method is to use gene expression data and metabolic network structure to deterministically rank each reaction from a generic human metabolic map in terms of its importance in a tissue-specific metabolic context. We have used mCADRE to reconstruct genome-scale metabolic models for 126 different human tissues and cell types to establish a Tissue-Specific Encyclopedia of Metabolism (TSEM) as a community resource—the largest collection of tissue-specific metabolic models for human to date. For many of the 126 tissues, this is the first time a genome-scale metabolic model has been built. TSEM includes 30 brain regions, 26 tumor tissues and cell lines, and 18 of the tumor tissues have corresponding normal tissue models.