单细胞多组学系列学习笔记汇总
![](https://img.haomeiwen.com/i8723194/f6899763c3e27349.png)
单细胞转录组数据分析
Seurat包学习笔记
Seurat包学习笔记(一):Guided Clustering Tutorial
![](https://img.haomeiwen.com/i8723194/86b614e531f3a7d2.png)
Seurat包学习笔记(二):Integration and Label Transfer
![](https://img.haomeiwen.com/i8723194/8f41d4d74af17654.png)
Seurat包学习笔记(三):Analysis of spatial datasets
![](https://img.haomeiwen.com/i8723194/4708d84f3de89b8b.png)
Seurat包学习笔记(四):Using sctransform in Seurat
![](https://img.haomeiwen.com/i8723194/0b9e7be7b6ed9275.png)
Seurat包学习笔记(五):Using Seurat with multi-modal data
![](https://img.haomeiwen.com/i8723194/5077e755d5dd596c.png)
Seurat包学习笔记(六):scATAC-seq + scRNA-seq integration
![](https://img.haomeiwen.com/i8723194/79464d3ba407f686.png)
Seurat包学习笔记(七):Stimulated vs Control PBMCs
![](https://img.haomeiwen.com/i8723194/72c1a79cf6bf0fa8.png)
Seurat包学习笔记(八):Cell-Cycle Scoring and Regression
![](https://img.haomeiwen.com/i8723194/46f1c8e604577449.png)
Seurat包学习笔记(九):Differential expression testing
![](https://img.haomeiwen.com/i8723194/ec5bd10831e8ec35.png)
Seurat包学习笔记(十):New data visualization methods in v3.0
![](https://img.haomeiwen.com/i8723194/f23d6b232acfc915.png)
![](https://img.haomeiwen.com/i8723194/defe7ea4c53ece6d.png)
![](https://img.haomeiwen.com/i8723194/4d9586f9f9633011.png)
![](https://img.haomeiwen.com/i8723194/69847dfb843ac1d0.png)
Scater包学习笔记
使用scater包进行单细胞测序分析(一):数据导入与SCESet对象构建
![](https://img.haomeiwen.com/i8723194/db90b186d95c16b2.png)
![](https://img.haomeiwen.com/i8723194/86e389b46e715427.png)
使用scater包进行单细胞测序分析(三):数据降维与可视化
![](https://img.haomeiwen.com/i8723194/c838cca027a2671d.png)
Monocle2包学习笔记
Monocle2包学习笔记(一):Getting Started with Monocle
![](https://img.haomeiwen.com/i8723194/e18a3d6c0739b195.png)
Monocle2包学习笔记(二):Classifying and Counting Cells
![](https://img.haomeiwen.com/i8723194/c1ff88ecde28d05a.png)
Monocle2包学习笔记(三):Constructing Single Cell Trajectories
![](https://img.haomeiwen.com/i8723194/3f114075a36ced08.png)
Monocle2包学习笔记(四):Differential Expression Analysis
![](https://img.haomeiwen.com/i8723194/f9567834d86bc2f0.png)
Palantir包学习笔记
![](https://img.haomeiwen.com/i8723194/c9a7dae8a8e7b80d.png)
Phate包学习笔记
![](https://img.haomeiwen.com/i8723194/43285da0806b1c7a.png)
使用phate包复现science immunology文章的结果
![](https://img.haomeiwen.com/i8723194/06c5886e2edbffe0.png)
单细胞表观组数据分析
![](https://img.haomeiwen.com/i8723194/6bfc14133e9bf4ff.png)
Fig. 1. Schematic overview of a typical single-cell ATAC sequencing analysis workflow.
CellRanger-ATAC学习笔记
使用cellranger-atac软件处理10x单细胞ATAC-seq测序数据(上)
![](https://img.haomeiwen.com/i8723194/7aca157a9b6627d0.png)
使用cellranger-atac软件处理10x单细胞ATAC-seq测序数据(下)
![](https://img.haomeiwen.com/i8723194/7078e5c2d4fd4149.png)
Signac包学习笔记
使用Signac包进行单细胞ATAC-seq数据分析(一):Analyzing PBMC scATAC-seq
![](https://img.haomeiwen.com/i8723194/608ad960c8c1caa1.png)
使用Signac包进行单细胞ATAC-seq数据分析(二):Motif analysis with Signac
![](https://img.haomeiwen.com/i8723194/43eb556d8af7e39b.png)
使用Signac包进行单细胞ATAC-seq数据分析(三):scATAC-seq data integration
![](https://img.haomeiwen.com/i8723194/02db991a40bbb3f3.png)
使用Signac包进行单细胞ATAC-seq数据分析(四):Merging objects
![](https://img.haomeiwen.com/i8723194/6a9ba7d3bfd86c7d.png)
SnapATAC包学习笔记
使用SnapATAC软件分析单细胞ATAC-seq数据(一):SnapATAC简介与安装
![](https://img.haomeiwen.com/i8723194/80a82a73e9bf3398.png)
使用SnapATAC软件分析单细胞ATAC-seq数据(二):10X Adult Mouse Brain
![](https://img.haomeiwen.com/i8723194/26469a5f927284d9.png)
使用SnapATAC分析单细胞ATAC-seq数据(三):Integrative scATAC-seq and scRNA-seq
![](https://img.haomeiwen.com/i8723194/3b427d18aa743edc.png)
使用SnapATAC分析单细胞ATAC-seq数据(四):Integrative 10X and snATAC
![](https://img.haomeiwen.com/i8723194/88df62c817c85b49.png)
Cicero包学习笔记
使用Cicero包进行单细胞ATAC-seq分析(一):Cicero introduction and installing
![](https://img.haomeiwen.com/i8723194/d1f0facbf9277846.png)
使用Cicero包进行单细胞ATAC-seq分析(二):Constructing cis-regulatory networks
![](https://img.haomeiwen.com/i8723194/aa476a2af7c0f670.png)
使用Cicero包进行单细胞ATAC-seq分析(三):Single-cell accessibility trajectory
![](https://img.haomeiwen.com/i8723194/1e63e12ee169c9be.png)
单细胞类型注释分析
![](https://img.haomeiwen.com/i8723194/21133adf9146a116.png)
SingleR包学习笔记
![](https://img.haomeiwen.com/i8723194/dc740a7253ed952f.png)
Celaref包学习笔记
使用Celaref包进行单细胞类型注释分析(一):Celaref Overview and Installation
![](https://img.haomeiwen.com/i8723194/993156cf4489c356.png)
使用Celaref包进行单细胞类型注释分析(二):Using the package
![](https://img.haomeiwen.com/i8723194/2aacfbf1acada77e.png)
使用Celaref包进行单细胞类型注释分析(三):Example Analyses
![](https://img.haomeiwen.com/i8723194/5c48de386a6592c4.png)
CHETAH包学习笔记
![](https://img.haomeiwen.com/i8723194/662d843b355da41c.png)
Garnett包学习笔记
使用Garnett包进行单细胞类型分类注释分析(一):Train cell type classifiers
![](https://img.haomeiwen.com/i8723194/c7d2eca3c17e4122.png)
使用Garnett包进行单细胞类型分类注释分析(二):Classify your cells
![](https://img.haomeiwen.com/i8723194/6a5c39cbd825ebf7.png)
CellAssign包学习笔记
使用cellassign包进行单细胞类型注释分析(一):Constructing marker genes
![](https://img.haomeiwen.com/i8723194/64ef266f6e89fb28.png)
使用cellassign包进行单细胞类型注释分析(二):Assigning single-cells to cell types
![](https://img.haomeiwen.com/i8723194/cc284d76aee327b3.png)
单细胞免疫组库数据分析
![](https://img.haomeiwen.com/i8723194/eff718f35937527b.png)
![](https://img.haomeiwen.com/i8723194/e214bbc9513203bf.png)
使用immunarch包进行单细胞免疫组库数据分析(一):包的简介与安装
![](https://img.haomeiwen.com/i8723194/115281998ed3d495.png)
使用immunarch包进行单细胞免疫组库数据分析(二):数据加载
![](https://img.haomeiwen.com/i8723194/dcbd23ea4329d0f0.png)
使用immunarch包进行单细胞免疫组库数据分析(三):处理单细胞配对链数据
![](https://img.haomeiwen.com/i8723194/5b406a02ccc7892b.png)
使用immunarch包进行单细胞免疫组库数据分析(四):Basic analysis and clonality
![](https://img.haomeiwen.com/i8723194/6f41ebbb09b33f94.png)
使用immunarch包进行单细胞免疫组库数据分析(五):Repertoire overlap
![](https://img.haomeiwen.com/i8723194/e39847f234521bb5.png)
使用immunarch包进行单细胞免疫组库数据分析(六):Gene usage analysis
![](https://img.haomeiwen.com/i8723194/81dfa4e836519b8c.png)
使用immunarch包进行单细胞免疫组库数据分析(七):Diversity estimation
![](https://img.haomeiwen.com/i8723194/47873f64943b76e4.png)
使用immunarch包进行单细胞免疫组库数据分析(八):Track clonotypes across samples
![](https://img.haomeiwen.com/i8723194/d44bace1dd8c40ac.png)
使用immunarch包进行单细胞免疫组库数据分析(九):Annotate clonotypes
![](https://img.haomeiwen.com/i8723194/9d698209d062f99e.png)
使用immunarch包进行单细胞免疫组库数据分析(十):Kmer and sequence motif analysis
![](https://img.haomeiwen.com/i8723194/00d03b894c40e466.png)
单细胞转录组数据分析实战
![](https://img.haomeiwen.com/i8723194/66c28a40a9407108.png)
![](https://img.haomeiwen.com/i8723194/984744113173a9d7.png)
![](https://img.haomeiwen.com/i8723194/066d29b934fe7da0.png)
![](https://img.haomeiwen.com/i8723194/0d6d0369f88e4325.png)
![](https://img.haomeiwen.com/i8723194/1a81c3c309220408.png)
NBIS系列单细胞转录组数据分析实战(五):基因差异表达分析
![](https://img.haomeiwen.com/i8723194/0c60bcb70560ca26.png)
![](https://img.haomeiwen.com/i8723194/5840f4e9b7ba70c2.png)
![](https://img.haomeiwen.com/i8723194/69cef5b9aee28373.png)
NBIS系列单细胞转录组数据分析实战(八):拟时序细胞轨迹推断
![](https://img.haomeiwen.com/i8723194/cb695a48b588770f.png)
scCustomize包学习笔记
![](https://img.haomeiwen.com/i8723194/55d86237cf0889c8.png)
![](https://img.haomeiwen.com/i8723194/30b7ccb200074686.png)
projectLSI包学习笔记
projectLSI:将你的单细胞或bulk转录组数据映射到参考数据集中
![](https://img.haomeiwen.com/i8723194/54eeff1296fc8dce.png)
simspec包学习笔记
![](https://img.haomeiwen.com/i8723194/6fd4e6758adcebde.png)
思维导图
![](https://img.haomeiwen.com/i8723194/9f61893417ae3574.png)