Biopython

🌐Community
by jimmc414 · vlatest · Repository

This Biopython skill analyzes biological sequences (DNA, protein) for research and development, streamlining bioinformatics tasks.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add jimmc414-biopython npx -- -y @trustedskills/jimmc414-biopython
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "jimmc414-biopython": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/jimmc414-biopython"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill provides access to Biopython, a powerful suite of tools for computational biology. It allows agents to analyze biological sequences (DNA, RNA, protein), perform sequence alignments, and work with phylogenetic trees. The skill enables tasks such as identifying genes within a DNA sequence or comparing the similarity between two protein structures.

When to use it

  • Analyzing genomic data: Identify potential gene locations in a newly sequenced genome.
  • Protein structure comparison: Determine the evolutionary relationship of proteins based on their amino acid sequences.
  • Phylogenetic analysis: Construct and analyze phylogenetic trees from sequence alignments.
  • Sequence alignment: Align multiple DNA or protein sequences to identify conserved regions.
  • Bioinformatics research: Automate repetitive tasks in bioinformatics workflows.

Key capabilities

  • Sequence analysis (DNA, RNA, Protein)
  • Sequence Alignment
  • Phylogenetic tree manipulation
  • Gene finding within DNA sequences

Example prompts

  • "Analyze this DNA sequence and identify any potential gene locations."
  • "Compare the amino acid sequences of these two proteins and calculate their similarity score."
  • "Construct a phylogenetic tree based on this set of aligned sequences."

Tips & gotchas

  • Requires familiarity with biological data formats (e.g., FASTA).
  • Biopython can be computationally intensive for very large datasets; consider resource limitations.

Tags

🛡️

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Details

Version
vlatest
License
Author
jimmc414
Installs
7

🌐 Community

Passed automated security scans.