NVIDIA Parabricks

Simple, fast, and repeatable variant analysis software for gene panels, exomes, and whole genomes. VarSeq is an intuitive, integrated software solution for tertiary analysis. With VarSeq you can automate your workflows and analyze variants for gene panels, exomes, and whole genomes. Understanding genomic data has never been easier thanks to our software. VarSeq software provides a powerful filtering and annotation engine to sift through large variant data sets. Using a chain of filters, you can quickly narrow your list of variants down to those that are most likely to be of interest. After determining the parameters that work well for your analysis, you can save the state of your filters so that you can easily apply the same analysis to another dataset. The same automated workflow can be used for each batch of samples, making VarSeq an ideal solution for high-throughput environments. Real-time filtering gives you the power to quickly prototype and tune analysis workflows.

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.