Researchers from Sanford Burnham Prebys and UCLA released metapipeline‑DNA, an automated, extensible Nextflow pipeline for germline and somatic DNA sequencing analysis designed for cloud and HPC environments. The tool aims to standardize workflows across labs and scale analysis of multi‑sample genomics projects. Published in Cell Reports Methods, the resource—co‑authored by cloud architect Yash Patel—packages best‑of‑breed algorithms, supports reproducible configuration, and targets both academic and translational research settings. The pipeline addresses practical bottlenecks in handling terabytes per genome and complex mixtures of established and novel algorithms. Metapipeline‑DNA should reduce variability between sites and accelerate downstream discoveries by providing validated steps for alignment, variant calling, and annotation while preserving configurability for research needs.