aeon
aeon:Aeon是一个兼容 scikit-learn Python 工具包 ,用于 时序机器学习。 It provides state-of- -art algorithms ,用于 分类,回归,聚类,预测,异常检测,分割,、 相似性检索…
维护者 FreedomIntelligence · 最近更新 2026年4月1日
bio-crispr-screens-base-editing-analysis:分析 base editing 、 prime editing outcomes ,涵盖 editing efficiency,bystander edits,、 indel frequencies。 适合在quantifying CRISPR base editor results,comparing ABE vs CBE efficiency,或 assessing prime editing fidelity时使用。
原始来源
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-crispr-screens-base-editing-analysis
技能摘要
原始文档
Goal: Quantify base editing efficiency and bystander edits from amplicon sequencing.
Approach: Run CRISPResso with --base_editor_output and the expected edited amplicon sequence to measure target base conversion, bystander edits, and indel frequencies.
## Key Metrics
| Metric | Description |
|--------|-------------|
| Editing efficiency | % reads with target base change |
| Bystander edits | Unintended edits in editing window |
| Indel frequency | Insertions/deletions (should be low) |
| Purity | Target edit without bystanders |
## C->T conversion (or G->A on opposite strand)
CRISPResso --fastq_r1 reads.fq.gz \
--amplicon_seq $AMPLICON \
--guide_seq $GUIDE \
--base_editor_output \
--conversion_nuc_from C \
--conversion_nuc_to T
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