run_deseq2_analysis
This script performs a complete differential expression analysis using PyDESeq2. It can be used as a template for standard RNA-seq DEA workflows.
- Skills
- Scientific
- 1
What it does and how to use it
A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
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Install (Claude Code)
mkdir -p .claude/skills/run-deseq2-analysis && curl -fsSL https://doutorai.pt/data/lib/skills__run-deseq2-analysis.md -o .claude/skills/run-deseq2-analysis/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
#!/usr/bin/env python3
"""
PyDESeq2 Analysis Script
This script performs a complete differential expression analysis using PyDESeq2.
It can be used as a template for standard RNA-seq DEA workflows.
Usage:
python run_deseq2_analysis.py --counts counts.csv --metadata metadata.csv \
--design "~condition" --contrast condition treated control \
--output results/
Requirements:
- pydeseq2
- pandas
- matplotlib (optional, for plots)
"""
import argparse
import os
import pickle
import sys
from pathlib import Path
import pandas as pd
try:
from pydeseq2.dds
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