Díaz-Pinés Cort et al. identify a 100-gene inflammation signature and a broader 2,000-gene inflammatome, consistently upregulated across inflammatory diseases and tissues. They show that these resources can detect inflammation in transcriptomic and proteomic datasets, distinguish disease-specific signals from general inflammation, and generate sample-wise inflammation scores correlated with disease activity.