Parabricks: GPU Accelerated Universal Pan-Instrument Genomics Analysis Software Suite

作者：Tong Zhu, Pankaj Vats, Seth Onken, Al Dunstan, Babak Zamirai, Daniel F. Puleri, Abhishek Ramdas Nair, Marco Antônio Oliva, Anil Gaihre, Priyanka Sadhnani, Shaomeng Li, Kamesh Arumugam, Alejandro Chacón, Milos Maric, Jonathan Cohen, Ankit Sethia, Mehrzad Samadi · 发表于：bioRxiv (Cold Spring Harbor Laboratory) · 年份：2025 · DOI：10.1101/2025.07.23.666378 · 被引用次数：8 · 研究领域：Genomics and Phylogenetic Studies、Gene expression and cancer classification、RNA and protein synthesis mechanisms

Abstract Next-generation sequencing (NGS) has transformed genomics, enabling breakthroughs in biotechnology, healthcare, and pharmaceuticals. However, exponential data growth-outpacing Moore’s Law-presents critical computational challenges for secondary analysis. We introduce Parabricks, a freely accessible, GPU-accelerated software suite supporting diverse workflows, including wholegenome, exome, transcriptome, and methylation analysis. Compatible across major short read and long read sequencing platforms, it reduces processing time from hours to minutes while maintaining concordance with established standards, this acceleration translates to significant cost savings. Deployable on-premises or through cloud platforms, Parabricks ensures scalable, genomic processing. Integrated AI-driven workflows and deep learning models further enhance precision, offering a universal solution for high-throughput genomic research and clinical diagnostics.