mang30/myskills/bioinformatics-sc

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Install

npx vskill@latest install mang30/myskills/bioinformatics-sc

SKILL.md

单细胞多组学数据处理规范

适用场景

处理 scRNA、scATAC、scHiC、scHiCAR 等单细胞多组学数据

数据加载规范

MTX 格式(10x Genomics)
python
import scanpy as sc
adata = sc.read_10x_mtx(
path,
var_names='gene_symbols',
cache=True # 必须开启缓存
)
pairsam / Hi-C 格式
python
# 禁止一次性读取,必须用流式
import gzip
with gzip.open('file.pairsam.txt.gz', 'rt') as f:
for line in f: # 逐行处理
if line.startswith('#'):
continue

质控标准(scRNA)

  • 最小基因数:200
  • 最大基因数:根据数据分布决定(通常 <6000)
  • 线粒体基因比例:<20%
  • 最小细胞数:3

必须固定随机种子

python
import numpy as np
import random
SEED = 42
np.random.seed(SEED)
random.seed(SEED)

内存安全

  • 单个文件 >1GB 必须流式处理
  • 使用 backed 模式读取大 h5ad
  • 及时释放不用的变量

结果可复现性

  • 所有中间结果保存为 h5ad 格式
  • 记录软件版本到 results/env.txt
  • 数据集划分方式与论文一致

Security

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Source

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Works with

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