Tag Archives: nVidia

nvidia parabricks

NVIDIA Parabricks version 4.0 free for R&D

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NVIDIA’s Clara Parabricks v4.0, presented during Nvidia’s GTC 2022, introduces a couple of groundbreaking updates that democratize access to accelerated genome sequencing analysis. The v4.0 release features expanded compatibility with workflow languages like WDL and NextFlow, enabling seamless integration with GPU-accelerated and third-party tools. Additionally, it supports the Cromwell workflow management system, making it easy […]

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The story of NVIDIA Parabricks

Introduction NVIDIA Parabricks is a cutting-edge genomic analysis platform that uses GPU acceleration to dramatically reduce the time required for computational tasks in next-generation sequencing (NGS) workflows. Tailored for applications in precision medicine, genomics research, and healthcare, Parabricks accelerates essential bioinformatics tools like the Genome Analysis Toolkit (GATK) for tasks such as variant calling, alignment, […]

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nVidia CUDA Bioinformatics: BarraCUDA

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Introduction Today, we will continue our journey into the current state-of-the-art of bioinformatics tools that make use of nVidia’s CUDA API. I will discuss specific bioinformatics problems, the default tools that are used in the industry and the possible Graphics Processor (GPU) based alternatives. If you want to read more about the history and purpose […]

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nVidia CUDA Bioinformatics: An Introduction

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Introduction As most readers of this blog will know, bioinformatics has always been a data-heavy field of research. Many computational problems within bioinformatics can scale up to the sky, from protein folding to calculating homology in sequences. But the real motherload of repetitive data was unleashed on the bioinformatics community when Next Generation Sequencing (NGS) […]

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