Megan H. Cleveland

The paper introduces the Digital PCR Data Essentials Standard (DDES) to standardize data structure for dPCR, improving interoperability and reproducibility across platforms and applications.

The paper develops a benchmark for detecting low-frequency mosaic variants in the HG002 reference material using high-coverage sequencing data and validates its utility across multiple technologies.

This study evaluates interlaboratory reproducibility of HIV-1 RNA quantification methods, finding significant variation in results and highlighting the need for improved RNA material characterization.

This study evaluates the comparability of SARS-CoV-2 RNA quantification methods across laboratories using RT-dPCR and highlights factors affecting interlaboratory variation.

The paper evaluates the detection of technically challenging variants in NGS workflows using synthetic specimens and clinical data from 450,000 patients, finding significant variability in detection rates.

This study evaluates synthetic specimens with challenging variants across 10 NGS workflows, finding limited variant detection consistency and highlighting bioinformatic limitations.