What domains of biology does Biomni support?

Biomni supports a wide range of domains including genomics, proteomics, molecular biology, clinical analysis, and drug discovery.

Is Biomni's code execution safe?

Biomni executes generated code with system privileges; it is strongly recommended to run it in isolated environments like Docker or virtual machines for production use.

Can Biomni perform single-cell RNA-seq analysis?

Yes, it can perform QC, filtering, clustering, cell type annotation, and differential expression analysis autonomously using natural language queries.

Does Biomni require its own data source?

Biomni comes with an integrated 11GB data lake containing gene databases, protein structures, clinical datasets, and literature indices which it downloads on first use.

Which LLMs are compatible with Biomni?

It is optimized for Anthropic Claude (Sonnet and Opus), but also supports OpenAI GPT-4, Google Gemini, Llama 3 via Groq, and AWS Bedrock.

Biomni Biomedical AI Agent

Name: Biomni Biomedical AI Agent
Author: Activer007

byActiver007

0•

데이터 과학 및 ML

Executes autonomous multi-step research tasks across genomics, drug discovery, and clinical analysis using integrated biomedical databases.

Biomni is a comprehensive framework from Stanford’s SNAP lab designed to automate complex biomedical research. It leverages LLM reasoning to decompose tasks, generate and execute analysis code, and retrieve data from over 11GB of integrated biomedical knowledge sources. Whether you are designing CRISPR screens, analyzing single-cell RNA-seq data, or predicting drug ADMET properties, Biomni provides a unified interface for cross-domain problem-solving and literature synthesis, significantly accelerating the biological discovery process.

주요 기능

01Cross-domain support for genomics, proteomics, drug discovery, and clinical tasks

020 GitHub stars

03Multi-step autonomous biological reasoning and task decomposition

04Built-in evaluation framework for benchmarking agent performance on biomedical tasks

05Access to 11GB of integrated biomedical databases including Gene, Protein, and Clinical data

06Dynamic Python code generation and execution for data pipelines

사용 사례

01Performing end-to-end single-cell RNA-seq analysis and cell type annotation

02Designing genome-wide CRISPR knockout screens and gene prioritization

03Predicting ADMET properties and identifying targets for drug discovery

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activer007/ordinary-claude-skills biomni

For use in Claude.ai and ChatGPT

Download Skill