43 lines
1.7 KiB
Markdown
43 lines
1.7 KiB
Markdown
# Life Science AI Prompts
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> *Where the prompts live, thrive, and reach the world.*
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Curated, versioned AI prompts for life sciences research.
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Covers genomics, proteomics, CRISPR, cell biology, and literature synthesis.
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## Analogous Resources Ingested
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| Repository | Focus | Stars |
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|---|---|---|
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| [awesome-ai-for-science](https://github.com/ai-boost/awesome-ai-for-science) | AI tools across sciences | ★★★ |
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| [Awesome-LLM-Agents-Scientific-Discovery](https://github.com/zjlrock777/Awesome-LLM-Agents-Scientific-Discovery) | LLM agents in biomedical research | ★★★ |
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| [awesome-genomic-skills](https://github.com/GoekeLab/awesome-genomic-skills) | Genomic LLM agent skills | ★★★ |
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| [awesome-computational-biology](https://github.com/inoue0426/awesome-computational-biology) | Computational biology resources | ★★★ |
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| [Awesome-LLM-Scientific-Discovery](https://github.com/HKUST-KnowComp/Awesome-LLM-Scientific-Discovery) | LLMs for science | ★★★ |
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## Folder Structure
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```
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genomics/ — variant calling, RNA-seq, CRISPR
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proteomics/ — structure, mass spectrometry, interactions
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cell-biology/ — flow cytometry, microscopy, assays
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literature/ — paper summarisation, methods extraction
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```
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## How to Use
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```python
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import requests, base64
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GITEA_URL = "https://promptnotes.ai"
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TOKEN = "your-token"
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def read_prompt(owner, repo, path):
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url = f"{GITEA_URL}/api/v1/repos/{owner}/{repo}/contents/{path}"
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r = requests.get(url, headers={"Authorization": f"token {TOKEN}"})
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return base64.b64decode(r.json()["content"]).decode()
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prompt = read_prompt("promptadmin", "life-science-ai-prompts",
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"genomics/variant-interpretation/snp-clinical-significance.md")
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```
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