Biopython

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by microck · vlatest · Repository

This Biopython skill leverages Python libraries for bioinformatics tasks like sequence analysis, enabling efficient biological data processing and research.

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 microck-biopython npx -- -y @trustedskills/microck-biopython
2

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

~/.claude/settings.json
{
  "mcpServers": {
    "microck-biopython": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/microck-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 AI agents to analyze biological sequences like DNA and protein, perform sequence alignments, and work with phylogenetic trees. This capability enables tasks ranging from simple sequence manipulation to complex bioinformatics analyses.

When to use it

  • Sequence Analysis: When you need an agent to identify patterns or motifs within a DNA or protein sequence.
  • Phylogenetic Tree Construction: To build evolutionary relationships between different species based on their genetic data.
  • Alignment Tasks: For aligning multiple sequences to find conserved regions and understand functional similarities.
  • Bioinformatics Research: To assist with research projects involving biological data analysis.

Key capabilities

  • Sequence manipulation (DNA, RNA, protein)
  • Sequence alignment algorithms
  • Phylogenetic tree construction and visualization
  • Biological database access and parsing

Example prompts

  • "Analyze this DNA sequence: [sequence] and identify any potential gene markers."
  • "Create a phylogenetic tree based on these sequences: [sequences]."
  • "Align the following protein sequences: [sequences] to find conserved regions."

Tips & gotchas

  • Requires familiarity with biological data formats (e.g., FASTA, GenBank).
  • Computational biology can be resource-intensive; complex analyses may take time.

Tags

🛡️

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Details

Version
vlatest
License
Author
microck
Installs
5

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Passed automated security scans.