Agent skill · Data & Analytics

bio-alignment-msa-parsing

Parse and analyze multiple sequence alignments using Biopython. Extract sequences, identify conserved regions, analyze gaps, work with annotations, and manipulate alignment data for downstream analysis. Use when parsing or manipulating multiple sequence alignments.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-alignment-msa-parsing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 7
SKILL.md size: 11 KB
Bundled scripts: yes
Path: skills/bio-alignment-msa-parsing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Version Compatibility Reference examples tested with: BioPython 1.83+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # MSA Parsing and Analysis Parse multiple sequence alignments to extract information, analyze content, and prepare for downstream analysis. ## Required Import **Goal:** Load modules for parsing, analyzing, and manipulating multiple sequence alignments. **Approach:** Import AlignIO for reading, Counter for column analysis, and alignment classes for constructing modified alignments. ```python from Bio import AlignIO from Bio.Align import MultipleSeqAlignment from Bio.SeqRecord import SeqRecord from Bio.Seq import Seq from collections import Counter ``` ## Loading Alignments **Goal:** Read an MSA file and inspect its dimensions. **Approach:** Use `AlignIO.read()` specifying the file and format. ```python from Bio import AlignIO alignment = AlignIO.read('alignment.fasta', 'fasta') print(f'{len(alignm

What's inside
Steps it walks through
  1. Version Compatibility
  2. Required Import
  3. Loading Alignments
  4. Extracting Sequence Information
  5. Get All Sequence IDs
  6. Get Sequences as Strings
  7. Get Sequence by ID
  8. Access Descriptions and Annotations
  9. Column-wise Analysis
  10. Get Single Column
  11. Iterate Over Columns
  12. Count Characters in Column
  13. Find Conserved Positions
  14. Gap Analysis
Ships with 6 files
  • examples/analyze_alignment.py
  • examples/clean_alignment.py
  • examples/consensus_sequence.py
  • examples/find_conserved.py
  • examples/gap_analysis.py
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-alignment-msa-parsing skill do?

Parse and analyze multiple sequence alignments using Biopython. Extract sequences, identify conserved regions, analyze gaps, work with annotations, and manipulate alignment data for downstream analysis. Use when parsing or manipulating multiple sequence alignments.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-alignment-msa-parsing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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