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

Vats, P.; Zhu, T.; Onken, S.; Dunstan, A.; Zamirai, B.; Puleri, D. F.; Nair, A.; Oliva, M.; Gaihre, A.; Sadhnani, P.; Li, S.; Arumugam, K.; Chacon, A.; Maric, M.; Cohen, J.; Sethia, A.; Samadi, M.

doi:10.1101/2025.07.23.666378

bioRxiv · 10.1101/2025.07.23.666378

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

Vats, P.·Zhu, T.·Onken, S.·Dunstan, A.·Zamirai, B.·Puleri, D. F.·Nair, A.·Oliva, M.·Gaihre, A.·Sadhnani, P.·Li, S.·Arumugam, K.·Chacon, A.·Maric, M.·Cohen, J.·Sethia, A.·Samadi, M.

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Abstract

Next-generation sequencing (NGS) has transformed genomics, enabling breakthroughs in biotechnology, healthcare, and pharmaceuticals. However, exponential data growth-outpacing Moores 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.

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Vats, P., Zhu, T., Onken, S., Dunstan, A., Zamirai, B., Puleri, D. F., Nair, A., Oliva, M., Gaihre, A., Sadhnani, P., Li, S., Arumugam, K., Chacon, A., Maric, M., Cohen, J., Sethia, A., Samadi, M.. 2025-07-27. Parabricks: GPU Accelerated Universal Pan-Instrument Genomics Analysis Software Suite. https://doi.org/10.1101/2025.07.23.666378

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