Prediction of metabolites associated with somatic mutations in cancers

GEMs_AML: 16 acute myeloid leukemia (AML) patient-specific genome-scale metabolic models (GEMs) reconstructed using their corresponding RNA-seq data and Recon 2M.2 GEMs_PCAWG: 943 cancer patient-specific GEMs for 24 different cancer types reconstructed using the Pan-Cancer Analysis of Whole Genomes (PCAWG) RNA-seq data and generic human GEM 'Recon 2M.2' GEMs_RCC: 20 renal cell carcinoma (RCC) patient-specific GEMs reconstructed using their corresponding RNA-seq data and Recon 2M.2 GEMs_TCGA_LAML: 113 AML patient-specific GEMs reconstructed using The Cancer Genome Atlas (TCGA) LAML RNA-seq data and Recon 2M.2GEMs_AML：16例急性髓系白血病（acute myeloid leukemia, AML）患者特异性基因组规模代谢模型（genome-scale metabolic models, GEMs），基于其对应转录组测序（RNA-seq）数据与通用人类代谢模型Recon 2M.2重构得到。 GEMs_PCAWG：涵盖24种不同癌症类型的943个癌症患者特异性GEMs，基于全基因组泛癌分析（Pan-Cancer Analysis of Whole Genomes, PCAWG）的RNA-seq数据与通用人类代谢模型Recon 2M.2重构得到。 GEMs_RCC：20例肾细胞癌（renal cell carcinoma, RCC）患者特异性GEMs，基于对应RNA-seq数据与Recon 2M.2重构得到。 GEMs_TCGA_LAML：113例AML患者特异性GEMs，基于癌症基因组图谱（The Cancer Genome Atlas, TCGA）LAML队列的RNA-seq数据与Recon 2M.2重构得到。