DESeq2差异表达分析
tximport导入表达定量文件获取转录本ID所对应的基因Id1234library(GenomicFeatures)txd <- makeTxDbFromGFF(file='gencode.v44.annotation.gtf',format='gtf' ...
Read more
Single cell CNVs analysis
infercnvInstallationBiocManager::install("infercnv") Usage123456789101112131415161718192021222324252627library(infercnv)# Count matrixcounts ...
Read more
IGV deployment
IGV webappDownload IGVhttps://igv.org/app-archive/ Create data directorymkdir -p igv-webapp.2.13.5/resources/data (Put the data into this folder) Star ...
Read more
Allele specific CNVs analysis
Here's something encrypted, password is required to continue reading.
Read more
转录组表达定量分析
基于bamStar比对构建索引123456STAR --runMode genomeGenerate \--genomeDir /opt/hg38/index \--genomeFastaFiles /opt/hg38/ref/GRCh38.p14.genome.fa \--sjdbGTFfile ...
Read more
Cancer intervention summary
Here's something encrypted, password is required to continue reading.
Read more
胶质细胞markers
Here's something encrypted, password is required to continue reading.
Read more
Seurat对象操作
Seurat对象 查看seurat对象的结构: str(object) seurat对象的元信息: object@meta.data 指定使用的idents: Idents(object) <- "seurat_clusters" 指定使用的assay: DefaultAs ...
Read more
R之tidyverse包使用
数据读取123library(magrittr)library(tidyverse)data <- readr::read_tsv("test.tsv") %>% as.data.frame() # %>%为管道操作符 合并数据123456789# 左连接 ( ...
Read more
Seurat空间转录组分析流程
Load 10X visium data123456789101112library(Seurat)library(ggplot2)library(patchwork)# dataDir contains spatial dir and filtered_feature_bc_matrix.h5# ...
Read more