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 principal component analysis (PCA) of the PARCB time course RNA-sequencing data. These plots help visualize how the expression of their gene of interest lies with the bifurication and arc-like trajectories. Additionally, users can viusalize the expression of the selected gene over real timepoint labels or by hierarchical clusters (HCs). The units of gene expression are reported in log2(upper quartile normalized counts + 1).