Jennifer M. Franks

This paper introduces two tools to infer genetic requirements from single-cell sequencing data of perturbed embryos, revealing new roles for transcription factors in zebrafish development.

The paper uses single-nucleus ATAC-Seq and RNA-Seq to analyze age and sex differences in human heart cells, identifying gene expression and chromatin changes linked to these factors.

RoMA improves differential gene expression detection in RNA-seq by integrating mRNA abundance and raw counts, showing high accuracy and robustness in simulated and real data.