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Developing a scRNA agent that can perform data curation -> download -> preprocessing -> differential -> plots.

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scRNA Agent

Developing a single cell RNAseq Multi-Agent

That can perform the following process:

  1. scRNAseq Data Curation and Download
  2. Preprocessing
  3. Differential
  4. Plots (eg. Volcano Plot, MA plot)
  5. Visualization

scRNAseq Data Curation and Download

An LLM-assisted agent to search, evaluate, and download relevant single-cell RNA-seq datasets from GEO based on a biological query.

Features

  • Query GEO using natural language or structured search terms
  • Identify single-cell RNA-seq datasets
  • Prefer processed data formats (MTX, TSV, CSV)
  • Automatically download supplementary files
  • Provide dataset-level biological context summaries

Example Usage

query = (
    "single cell[All Fields] AND RNA-seq[All Fields] AND immune[All Fields]"
)

final_output = run_agent(query)
print("\nFINAL OUTPUT:\n", final_output)

Processing

The agent performs the following steps:

  1. Search GEO
  2. Identify relevant datasets
  3. Download processed data
  4. Summarize biological relevance

Output

Downloaded supplementary files are stored locally:

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Developing a scRNA agent that can perform data curation -> download -> preprocessing -> differential -> plots.

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