evo2

A framework for state-of-the-art pre-trained bio foundation models on genomics and transcriptomics modalities.

A Full Stack Variant Effect Predictor leveraging the Evo2 LLM for Single Nucleotide Variant(SNV) pathogenicity analysis, powered by a Modal‑deployed FastAPI GPU backend and a Next.js + Shadcn UI frontend

A deep learning model (EVO2-500M) for predicting host specificity of eukaryote-infecting viruses CDNA sequence

a web app that can classify how likely specific mutations in DNA are to cause diseases (variant effect prediction). We will deploy and use the state-of-the-art Evo2 large language model, and use it to predict the pathogenicity of single nucleotide variants (SNVs)

Evo 2 の内部表現をスパースオートエンコーダで読むハンズオン

Genome analysis toolkit powered by Evo foundation models.

Native Apple Silicon support for Arc Institute's Evo2. Run StripedHyena models locally on macOS via Metal Performance Shaders.

Decentralized genomic variant analysis on Google's Evo 2 + BNB Chain: Genome NFTs, DAO governance, and serverless GPU inference. BNB Hack Kerala winner.

Unofficial PyTorch and Transformers port of Arc Institute Evo 2 for DNA modeling and generation. Loads official checkpoints with no Vortex or custom kernels needed.

AI-powered variant pathogenicity prediction for cancer genes using Evo2-7B evolutionary foundation model. Combines deep learning, VEP annotation, gnomAD frequencies, and explainable AI for precision oncology. Built with Next.js + Modal + PostgreSQL.

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Reintegrate sd2iec evo2 support

This project critically analyzes the data pipeline of EVO 2, a cutting-edge AI model for genomic research developed by the Arc Institute and collaborators. The focus lies in evaluating its risks, ethical challenges, and governance structures in the context of data privacy, genome editing, and AI-driven biomedical innovation.

Visual variant effect predictor and ClinVar comparative analysis tool powered by Evo2 and GPU-accelerated serverless inference.

Open standard for DNA-based information archival

AI-powered variant pathogenicity prediction using the Evo2 genomic language model on GPU, cross-validated against ClinVar.

Native Windows app that runs the Evo 2 genomic language model on a GPU in your own Google Cloud project and returns per-base Shannon entropy tracks for IGV, Geneious, SnapGene and Benchling.

Exploratory Evo 2 promoter-grammar analysis with frozen aggregate statistics and figures for human protein-coding genes.

An Analysis application that allows single nucleotide variations in genes to help predict "pathogenic" or not using the Evo2 LLM Model

Score DNA variants from a VCF with Evo 2 (via NVIDIA’s hosted API). Exploratory, research use only.