Do I need specific API keys to use Biomni?

Yes, you need an API key for your preferred LLM provider, such as Anthropic (recommended), OpenAI, Azure, or Google Gemini.

Does Biomni support Model Context Protocol (MCP)?

Yes, Biomni can be extended via MCP servers to integrate with external tools like FDA drug databases or custom laboratory equipment interfaces.

What types of biological analysis can Biomni perform?

Biomni excels at CRISPR screening design, single-cell RNA-seq analysis, drug ADMET prediction, GWAS interpretation, and lab protocol optimization.

Is it safe to run Biomni on my local machine?

Biomni executes generated code with system privileges to perform analysis. It is highly recommended to run it in isolated environments like Docker or VMs for security.

What data sources does Biomni use?

Biomni integrates approximately 11GB of curated data including Ensembl, NCBI Gene, UniProt, PDB, ClinVar, OMIM, and PubMed literature indices.

Biomni Biomedical Agent

Name: Biomni Biomedical Agent
Author: Activer007

byActiver007

Ciencia de Datos y ML

Executes complex, multi-step biomedical research tasks using autonomous AI reasoning and integrated biological databases.

Acerca de

Biomni is an open-source framework designed for autonomous biomedical research, enabling Claude to perform advanced tasks across genomics, drug discovery, and clinical analysis. It leverages a massive 11GB integrated data lake of biological knowledge—including Ensembl, UniProt, and PubMed—to conduct everything from CRISPR screen designs and single-cell RNA-seq analysis to ADMET predictions for drug candidates. This skill is essential for researchers and bioinformaticians who need to automate complex reasoning pipelines, generate executable analysis code, and interpret multi-domain biological data with high precision within their development environment.

Características Principales

Integrated access to 11GB of biomedical databases and literature
Cross-domain support for genomics, proteomics, and drug discovery
Multi-step autonomous biological reasoning and task planning
0 GitHub stars
Dynamic code generation and execution for data processing pipelines
Automated CRISPR screening design and single-cell RNA-seq analysis

Casos de Uso

Analyzing single-cell RNA-seq datasets for cell type annotation and differential expression
Predicting ADMET properties and identifying targets for drug discovery candidates
Designing genome-wide CRISPR knockout screens to identify regulatory genes

Acerca de

Características Principales

Integrated access to 11GB of biomedical databases and literature
Cross-domain support for genomics, proteomics, and drug discovery
Multi-step autonomous biological reasoning and task planning
0 GitHub stars
Dynamic code generation and execution for data processing pipelines
Automated CRISPR screening design and single-cell RNA-seq analysis

Casos de Uso

Analyzing single-cell RNA-seq datasets for cell type annotation and differential expression
Predicting ADMET properties and identifying targets for drug discovery candidates
Designing genome-wide CRISPR knockout screens to identify regulatory genes