单细胞转录组及空间转录组学习资源
(1). 单细胞上游软件cellranger:单细胞上游软件cellranger从头说
(2). singleR操作说明:singleR
(3). seurat操作说明:seurat官网;seurat官方教程:seurat教程
(4). 多组学单细胞教程:OSCA
(5).单细胞课程:
scrnaseq-course
SingleCellWorkshop2020
NBIS-2021
youtube-videos
哈佛大学单细胞课程
(7). 单细胞去除批次效应的软件合集文章:
A benchmark of batch-effect correction methods for single-cell RNA sequencing data,可白嫖GitHub上的操作:Github入口,上面有各类软件的测试数据和使用代码
(8).分析类流程:Current best practices in single‐cell RNA‐seq analysis: a tutorial
(9).单细胞细胞注释方法类文章:Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods
(10). 单细胞轨迹推断个人比较推荐使用dyno,因为该软件集合了很多种逆时间分析的算法,并且做成了shiny,网址:https://github.com/dynverse/dyno
(11). 单细胞下游分析软件合集:https://github.com/ZilongZhang44/single-cell-downstream-analysis
(12). A systematic evaluation of single cell RNA-seq analysis pipelines
(13). 单细胞差异基因比较pipeline,Confronting false discoveries in single-cell differential expression
(14). 李程教授学生写的单细胞pipeline:Single Cell Multi-Omics Data Analysis
(15). 基于UMI建库方式的上有pipeline:《Benchmarking UMI-based single-cell RNA-seq preprocessing workflows》
(16). 单细胞WGCNA:
github网站:https://github.com/smorabit/scWGCNA
在线教程:https://smorabit.github.io/tutorials/9_scWGCNA_tutorial
(17). Cell type and gene expression deconvolution with BayesPrism enables Bayesian integrative analysis across bulk and single-cell RNA sequencing in oncology | Nature Cancer https://www.nature.com/articles/s43018-022-00356-3
(18). metaVIPER||识别单细胞中的蛋白活性 - 生信编程日常 - 简书 https://www.jianshu.com/p/8eeb02758f2e
(19).Single-cell sequencing: expansion, integration and translation
(20). scGENA: A Single-Cell Gene Coexpression Network Analysis Framework for Clustering Cell Types and Revealing Biological Mechanisms》,这个流程相关的代码在 GitHub (https://github.com/zpliulab/scGENA)
(21). Python 单细胞分析流程:A molecular single-cell lung atlas of lethal COVID-19,
github:
1.https://github.com/IzarLab/CUIMC-NYP_COVID_autopsy_lung ;2.https://github.com/mousepixels/sanbomics_scripts;3.https://github.com/mousepixels/sanbomics_scripts/blob/main/single_cell_analysis_complete_class.ipynb
(22). 附加一个空间转录组的教程:空间转录组教程
(23). 单细胞RNA-seq与单细胞ATAC-seq联合分析例子:1. https://github.com/hcph/wheat_singlecellAtlas;2. https://github.com/rargelaguet/mouse_organogenesis_10x_multiome_publication
(24). 兔子scRNA和scATAC联合分析案例:《An atlas of rabbit development as a model for single-cell comparative genomics》,codes:https://github.com/MarioniLab/RabbitGastrulation2022
(25). High dimensional weighted gene co-expression network analysis ,hdWGCNA:https://github.com/smorabit/hdWGCNA
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