The Single-Cell RNA-Seq Workshop is designed to provide a thorough introduction to the analysis of single-cell RNA sequencing data. Through a combination of lectures and hands-on exercises, participants will learn how to process, analyze and integrate single-cell data using industry-standard tools...
打开RStudio 并创建一个名为single_cell_rnaseq的新R项目。 然后,创建以下目录: single_cell_rnaseq/├── data ├── results └── figures 5. Download data & New script Control sample Stimulated sample #February2020# HBC single-cell RNA-seq workshop #Single-cell RNA-seq analysis-QC 将Rscri...
url IUPUI Center for Medical Genomics, 10X scientists, and Miltenyi hosted a workshop on Cell Preparation for Single-Cell RNA-seq Experiments
Single-cell RNA and BCR sequencing resolves concurrent lymphoid clones Next, to dissect tumor-intrinsic genomic and transcriptomic risk factors of progression, we performed scRNA-seq and scBCR-seq on CD138+ and/or CD19+ tumor cells from 18 patients with IgM MGUS/SWM (IgM MGUS: n = 1;...
plasmacytoid dendritic cell PI: plague index PPD: probing pocket depth ROC curve: receiver operating characteristic curve RPS17: ribosomal protein S17 scRNA-seq: single-cell RNA sequencing switched MB: switched memory B cells TCM: central memory T TEM: effector memory T Tfh: follicul...
Repo for Physalia course Analysis of Single Cell RNA-Seq data - GitHub - broadinstitute/2019_scWorkshop: Repo for Physalia course Analysis of Single Cell RNA-Seq data
Pseudotime Cell Trajectories Functional Pseudotime Analysis Single Cell Multiomic Technologies CITE-seq and scATAC-seq 链接 那么,话不多说,上链接:/2019_scWorkshop/index.html大家感兴趣的话可以自行访问,跟着这份教材学习。 写在最后 其实资料有很多,关键是要静下心来打好编程基础。不要还没入门就想着做高级...
Broad Institute single cell workshop. Single cell RNA sequencing, an e-book generated by the Bioinformatics team at NYU for mastering NGS analysis, including scRNA-seq analysis. Summary The above is not a comprehensive list. The landscape of single cell data analysis is evolving to incorporate ne...
Effective dimension reduction is essential for single cell RNA-seq (scRNAseq) analysis. Principal component analysis (PCA) is widely used, but requires continuous, normally-distributed data; therefore, it is often coupled with log-transformation in scRNAseq applications, which can distort the data an...
Single-cell chromatin accessibility assays, such as scATAC-seq, are increasingly employed in individual and joint multi-omic profiling of single cells. As the accumulation of scATAC-seq and multi-omics datasets continue, challenges in analyzing such spar