Announcing the "COVIDgenes" data portal: covidgenes.weill.cornell.edu, an open site for all to mine the RNA-seq expression results from our @WeillCornell|@nyphospital COVID-19 patient data. This site (v1.0) hosts various visualization, statistics, & normalization options including: /1 
Single-gene plots for expression changes with infection status, comparison to other respiratory infections’ expression changes, absolute expression or z-score, & a differentially expressed gene (DEG) q-value sorting tab based on a variety of patient group comparisons /2
Multi-gene heatmaps of expression changes with infection, including auto-updating custom-entry fields and sample annotations of infection status /3
User-entered pathways & heatmap of all genes in selected pathway, with search functions for GSEA or MiSigDB components. Thanks @WCMCPathology, the whole Mason Lab COVID team, @jfoox, @skimomiks, and especially @cemmeydan who built this whole site! /4
