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.