NVIDIA Parabricks

Geneyx Analysis is a comprehensive solution for next-generation sequencing (NGS) data that can scale the process of FASTQ to clinical reports for hospital and commercial labs. This advanced platform integrates machine learning and AI-based features to identify novel biomedical insights, while also improving diagnostic yields and turnaround times. By providing a fully transparent and intuitive solution, Geneyx Analysis enables clinicians and researchers to have complete control over data analysis and alleviates the complexities of regulating in-house bioinformatics pipelines. Protocols can be fully customized to accommodate gene panels, exomes, and genomes, and our comprehensive annotation engine supports the analysis of all genetic variants including structural and copy number variations as well as regulatory elements. Together, Geneyx Analysis automates the diagnostic process from sequencer to report, while creating a comprehensive resource for novel variant discovery.

Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. It utilizes a frontier deep learning architecture to model biological sequences at single-nucleotide resolution, achieving near-linear scaling of compute and memory relative to context length. Trained with 40 billion parameters and a 1 megabase context length, Evo 2 processes over 9 trillion nucleotides from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function prediction across multiple biological modalities, including DNA, RNA, and proteins, and to generate novel sequences with plausible genomic architecture. The model's capabilities have been demonstrated in tasks such as designing functional CRISPR systems and predicting disease-causing mutations in human genes. Evo 2 is publicly accessible via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework.