Biopython
Analyzes biological sequences using Python's Biopython library to identify patterns and relationships within genomic data.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add k-dense-ai-biopython npx -- -y @trustedskills/k-dense-ai-biopython
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"k-dense-ai-biopython": {
"command": "npx",
"args": [
"-y",
"@trustedskills/k-dense-ai-biopython"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill leverages the Biopython library to analyze biological sequence data. It can parse common bioinformatics file formats like FASTA and GenBank, perform sequence alignments, and calculate various molecular biology statistics. The agent can also be used for tasks such as identifying conserved regions within sequences or predicting protein domains.
When to use it
- Analyzing DNA or protein sequences from a research paper to understand evolutionary relationships.
- Converting between different bioinformatics file formats (e.g., FASTA to GenBank).
- Calculating basic statistics about a sequence, such as GC content or amino acid composition.
- Identifying potential binding sites within a DNA sequence.
- Performing simple sequence alignments for comparative analysis.
Key capabilities
- FASTA parsing and manipulation
- GenBank file processing
- Sequence alignment algorithms (basic)
- Calculation of molecular biology statistics
- File format conversion
Example prompts
- "Parse this FASTA file and tell me the length of each sequence."
- "Convert this GenBank file to a FASTA format."
- “Calculate the GC content of this DNA sequence.”
Tips & gotchas
- Requires familiarity with basic biological concepts.
- The skill provides basic alignment capabilities; more complex alignments may require specialized tools.
Tags
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