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