batch_sequence_analysis
for i, seq_data in enumerate(sequences): print(f" {i+1}. Predicting structure for {seq_data['id']}...") try: structure_dir = output_path / f"structure_{seq_data['id']}" # Uncomment to run AlphaFold prediction: #…
- Skills
- Scientific
- 0
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.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/batch-sequence-analysis && curl -fsSL https://doutorai.pt/data/lib/skills__batch-sequence-analysis.md -o .claude/skills/batch-sequence-analysis/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
#!/usr/bin/env python3
"""
Batch Sequence Analysis Script
Analyze multiple sequences: BLAST, alignment, and structure prediction
"""
import argparse
import sys
from pathlib import Path
import gget
def read_fasta(fasta_file):
"""Read sequences from FASTA file."""
sequences = []
current_id = None
current_seq = []
with open(fasta_file, "r") as f:
for line in f:
line = line.strip()
if line.startswith(">"):
if current_id:
sequences.append({"id": current_id, "seq": "".join(current_seq)})
curre
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