Tessa E. Gillett

The paper identifies a novel asthma-associated epithelial differentiation trajectory involving KRT14+ basal cells and hillock-like cells that contributes to airway inflammation and remodelling in childhood-onset asthma.

UnBlender enables cell type deconvolution in respiratory bulk RNA-seq data and provides routine validation of deconvolution accuracy.

This paper introduces GADO, a tool that uses gene expression data to predict gene-phenotype associations and improve diagnostic yield in exome sequencing by prioritizing variants in patients with unknown genetic diagnoses.