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bio-alignment-msa-statistics skillA

bio-alignment-msa-statistics is agent-read markdown (skill) from pku-yuangroup/openai4s: Calculate alignment statistics including sequence identity, conservation scores, substitution matrices, and similarity metrics. Use when comparing alignment quality, measuring sequence divergence, and analyzing evolutionary patterns..

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## Version Compatibility

Reference examples tested with: BioPython 1.83+, numpy 1.26+

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 Statistics

Calculate sequence identity, conservation scores, substitution counts, and other alignment metrics.

## Required Import

**Goal:** Load modules for alignment I/O, substitution scoring, and statistical calculations.

**Approach:** Import AlignIO for reading alignments, Counter for column analysis, numpy for matrix operations, and math for entropy calculations.

```python
from Bio import AlignIO
from Bio.Align import substitution_matrices
from collections import Counter
import numpy as np
import math
```

## Pairwise Identity

**"Calculate percent identity"** -> Compute the fraction of identical aligned residues between sequence pairs.

**Goal:** Measure sequence similarity as percent identity for individual pairs or across all sequences in an alignment.
…

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Source

GitHub

pku-yuangroup/openai4s · 586 stars · license MIT · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_dbrdifcbec43mmai
GET https://markdownregistry.com/api/v1/resolve?ref=pku-yuangroup/openai4s/bio-alignment-msa-statistics
GET https://markdownregistry.com/api/v1/blob/02bb7d9ebe8437e6bcdb182e409c383730f1925ed9d49b93f56ed7fea7ae88a8

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