evo2

Score, embed, and generate DNA sequences with a genomic foundation model.

288|34|Updated Jul 6, 2026
One-click install
npx skills add https://github.com/PKU-YuanGroup/OpenAI4S --skill evo2-pku-yuangroup
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: evo2
Source: https://github.com/PKU-YuanGroup/OpenAI4S/tree/main/skills/evo2
Command: npx skills add https://github.com/PKU-YuanGroup/OpenAI4S --skill evo2-pku-yuangroup

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Evo 2 helps solve the challenge of genomic sequence analysis, enabling tasks like scoring DNA sequences, embedding genomic windows, generating DNA sequences, and scoring regulatory or coding regions across species.

Core Features & Use Cases

  • DNA Sequence Scoring: Calculate likelihoods for variant effect scoring.
  • Genomic Window Embedding: Utilize genomic sequences for classification.
  • DNA Sequence Generation: Create DNA sequences based on a prefix.
  • Species-Wide Region Scoring: Analyze regulatory or coding regions.
  • Use Case: Imagine you are working on genetic variation research. You can use Evo 2 to score and generate DNA sequences to better understand the genetic differences across species.

Quick Start

Use the evo2 skill to score a DNA sequence: 'evo2 skill run evo2 --sequence "ATCG" * 50'

Frequently Asked Questions about evo2

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I score DNA sequences for variant effect analysis?

To score DNA sequences for variant effect analysis, you can calculate sequence likelihoods using the evo2 skill. It processes genomic inputs to provide likelihood scores, requiring a GPU for the necessary computational power.

Can I generate DNA sequences using a specific prefix?

Yes, you can generate DNA sequences using a specific prefix. The genomic sequence generation capability creates subsequent DNA bases based on your provided starting sequence to support genetic research.

Does genomic sequence embedding work across different species?

Yes, genomic sequence embedding works across different species. The model applies species-wide analysis to embed genomic windows, enabling you to utilize the resulting sequences for downstream classification tasks.

Do I need a GPU for genomic window embedding tasks?

Yes, you need a GPU for genomic window embedding tasks. Access to a GPU is required to provide the processing power necessary for running the long-context genomic foundation model.

What is the best way to score regulatory and coding regions across species?

The best way to score regulatory and coding regions across species is to use a long-context genomic foundation model. This approach analyzes the specific regions to help you understand genetic differences.

Why should I use a foundation model for DNA sequence analysis instead of traditional bioinformatics tools?

You should use a foundation model for DNA sequence analysis because it enables long-context processing across species. Unlike traditional bioinformatics tools, it handles scoring, embedding, and generation within a single model framework.