数据与复现生物信息与基因组学FreedomIntelligence/OpenClaw-Medical-Skills数据与复现

bio-codon-usage

维护者 FreedomIntelligence · 最近更新 2026年4月1日

Analyze codon usage bias and optimize sequences for expression.

OpenClawNanoClaw分析处理复现实验bio-codon-usage🧠 bioos extended suitebioos extended bioinformatics suiteanalyze

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-codon-usage

维护者: FreedomIntelligence
许可: MIT
最近更新: 2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

分析 codon usage patterns 、 calculate codon adaptation metrics ，使用 Biopython。
cai = CodonAdaptationIndex()。

原始文档

SKILL.md 摘录

Using CodonUsage Module

from Bio.SeqUtils.CodonUsage import CodonAdaptationIndex

## Generate index from highly expressed genes

cai.generate_index('highly_expressed_genes.fasta')

## Calculate CAI for a sequence

seq = Seq('ATGCGATCGATCGATCGTAA')
cai_value = cai.cai_for_gene(str(seq))
print(f'CAI: {cai_value:.3f}')  # Range 0-1, higher = better adapted

适用场景

Use bio-codon-usage ，用于 genomics 、 bioinformatics workflows。
Apply bio-codon-usage to sequencing，variant，或 omics analysis tasks。

不适用场景

Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。

上游相关技能

transcription-translation - Translate sequences and understand codon tables
sequence-properties - GC123 for wobble position GC content
sequence-io/read-sequences - Parse CDS sequences from GenBank files
database-access/entrez-fetch - Fetch reference gene sets from NCBI for CAI training

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