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

bio-systems-biology-gene-essentiality

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

Predict essential genes by single gene knockouts in metabolic models.

OpenClawNanoClaw分析处理复现实验bio-systems-biology-gene-essentiality🧠 bioos extended suitebioos extended bioinformatics suitepredict

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-systems-biology-gene-essentiality

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

  • deletion_results = single_gene_deletion(model)。
  • essential = deletion_results[deletion_results['growth'] < 0.01] print(f'Essential genes:{len(essential)}')。

原始文档

SKILL.md 摘录

Single Gene Knockouts

import cobra
from cobra.flux_analysis import single_gene_deletion

model = cobra.io.load_model('textbook')

## Synthetic Lethality

```python
from cobra.flux_analysis import double_gene_deletion

## Subset to genes of interest

genes_of_interest = [g.id for g in model.genes[:50]]

适用场景

  • Use bio-systems-biology-gene-essentiality ,用于 genomics 、 bioinformatics workflows。
  • Apply bio-systems-biology-gene-essentiality 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

  • systems-biology/flux-balance-analysis - Base FBA methods
  • pathway-analysis/go-enrichment - Enrich essential gene sets
  • clinical-databases/variant-prioritization - Link to disease genes

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