Parabricks
Nov 04, 2024
Discover New Biological Insights with Accelerated Pangenome Alignment in NVIDIA Parabricks
NVIDIA Parabricks is a scalable genomics analysis software suite that solves omics challenges with accelerated computing and deep learning to unlock new...
8 MIN READ
Jul 15, 2024
Unlock Gene Networks Using Limited Data with AI Model Geneformer
Geneformer is a recently introduced and powerful AI model that learns gene network dynamics and interactions using transfer learning from vast single-cell...
6 MIN READ
Jun 04, 2024
Unlock Deeper Insights of Somatic Mutations with Deep Learning
NVIDIA Parabricks expands the NVIDIA emphasis on solving omics challenges with deep learning and continues accelerating genomics instruments. NVIDIA Parabricks...
5 MIN READ
May 07, 2024
NVIDIA GTC Training Labs On Demand Available Now
Missed GTC or want to replay your favorite training labs? Find it on demand with the NVIDIA GTC Training Labs playlist.
1 MIN READ
Mar 19, 2024
Boost Multi-Omics Analysis with GPU-Acceleration and Generative AI
NVIDIA Parabricks v4.3 was released at NVIDIA GTC 2024, introducing new tooling and workflows that bring acceleration and the latest AI techniques to multiple...
7 MIN READ
Jan 02, 2024
Webinar: Accelerating Large-Scale Genomics Research
Learn how the Francis Crick Institute is using NVIDIA Clara Parabricks to enable key parts of TRACERx EVO, a new program that builds on the discoveries made in...
1 MIN READ
Oct 28, 2023
Accelerate Genomic Analysis for Any Sequencer with NVIDIA Parabricks v4.2
Parabricks version 4.2 has been released, furthering its mission to deliver unprecedented speed, cost-effectiveness, and accuracy in genomics sequencing...
7 MIN READ
Jun 27, 2023
GPU-Accelerated Single-Cell RNA Analysis with RAPIDS-singlecell
Single-cell sequencing has become one of the most prominent technologies used in biomedical research. Its ability to decipher changes in the transcriptome and...
13 MIN READ
May 15, 2023
Accelerate Whole Exome Analysis with Deep Learning at 70% Cost Reduction Using NVIDIA Parabricks
The human exome is key to understanding and treating genetic disorders and disease. Although the exome consists of just over 1% of the human genome, it also...
9 MIN READ
Mar 21, 2023
Long-Read Sequencing Workflows and Higher Throughputs in NVIDIA Parabricks 4.1
The upcoming 4.1 release of NVIDIA Parabricks, a suite of accelerated genomic analysis applications, goes further than ever before in accelerating sequencing...
6 MIN READ
Jan 18, 2022
Clara Parabricks 3.7 Brings Optimized and Accelerated Workflows for Gene Panels
The newest release of GPU-powered NVIDIA Clara Parabricks v3.7 includes updates to germline variant callers, enhanced support for RNA-Seq pipelines, and...
7 MIN READ
Jul 30, 2021
ICYMI: NVIDIA TensorRT and Triton in Healthcare
In this update, we look at the ways NVIDIA TensorRT and NVIDIA Triton Inference Server can help your business deploy high-performance models with resilience at...
6 MIN READ
Oct 02, 2020
Analyzing Genome Sequence Data on AWS with WekaFS and NVIDIA Clara Parabricks Pipelines
Whole genome sequencing has become an important and foundational part of genomic research, enabling researchers to identify genetic signatures associated with...
12 MIN READ
Sep 02, 2020
Accelerating Single Cell Genomic Analysis using RAPIDS
The human body is made up of nearly 40 trillion cells, of many different types. Recent advances in experimental biology have made it possible to explore the...
6 MIN READ
May 17, 2020
Meet the Researcher: Avantika Lal, Discovering Genes, Proteins, and Biological Processes Altered by COVID-19
Dr. Avantika Lal is a deep learning and genomics scientist at NVIDIA and was previously a researcher at Stanford University. She holds a PhD in genomics and is...
8 MIN READ
May 14, 2020
Taking GPU-based NGS Data Analysis to Another Level with NVIDIA Clara Parabricks Pipelines 3.0
The world of healthcare is under a giant spotlight these days. In these unprecedented times, everyone is focusing on keeping loved ones safe and contributing to...
3 MIN READ