Heather Anne Parsons

This paper constructs a unified transcriptional landscape of breast cancer using bulk RNA-seq data from multiple cohorts, identifying subtype and microenvironmental programs associated with therapeutic resistance.

MEDUSA improves sequencing accuracy by minimizing DNA duplex resynthesis during library preparation, achieving lower residual SNV frequency in genomic and cell-free DNA.

DirectHRD is a whole-genome sequencing-based classifier that improves HRD detection sensitivity in low tumor fraction samples.

FinaleMe predicts DNA methylation and tissues-of-origin from plasma whole-genome sequencing by using a non-homogeneous Hidden Markov Model.

MAESTRO enables efficient and accurate tracking of thousands of low-frequency mutations with reduced sequencing, improving mutation testing in cancer and liquid biopsies.