Daniel V. Brown

This paper uses active learning to improve a far-red fluorescent protein with fewer experiments, but performance varies between bacterial and mammalian cells.

CMDdemux improves single-cell demultiplexing accuracy by integrating hashing and mRNA data, outperforming existing methods on both high- and low-quality datasets.

This paper introduces Gtag&T-seq, a low-cost single-cell multi-omics method that reveals cell state plasticity and treatment response in melanoma subclones.

This paper compares patient-derived neurosphere and organoid models of glioblastoma, showing they retain intra-tumoral heterogeneity and respond to chemotherapy.

TIRE-seq streamlines RNA-seq workflows by integrating mRNA purification into library preparation, improving efficiency and data quality in perturbation studies.

This study evaluates sample multiplexing reagents and protocols for scRNA-Seq, finding that workflow improvements and reagent choice impact data quality and cost-effectiveness.

scPipe provides a preprocessing pipeline for single-cell ATAC-Seq and multi-modal data in R/Bioconductor, enabling quality control and downstream analysis.

The paper uses scRNA-seq and flow cytometry to identify novel immune and epithelial cell populations in preschool CF patients' bronchoalveolar lavage.