This tool allows you to visualize the expression of specified genes within our PARCB time course dataset (Chen et al, 2023). Here, users can select a gene from the drop down menu below, and the tool will paint the samples by the selected gene's expression levels on a 3D principal component analysis (PCA) of the PARCB time course RNA-sequencing data. The units of gene expression are reported in log2(upper quartile normalized counts + 1). The size of each sample on the 3D PCA plot is determined by their real time point labels, with basal samples being the smallest and endpoint samples being the largest.