This course introduces single cell RNA-seq data analysis methods, tools and file formats. It covers the processing of transcript counts from quality control and filtering to dimensional reduction, clustering, and differential expression analysis. You will also learn how to do integrated analysis...
This hands-on course introduces the participants to single cell RNA-seq data analysis concepts and popular R packages. It covers the preprocessing steps from raw sequence reads to expression matrix as well as clustering, cell type identification, differential expression analysis and pseudotime...
4 - 6 July 2022
Analysis of single cell RNA-seq data (ONLINE LIVE TRAINING)
17 June - 1 July 2022
Cambridge, United Kingdom
Summer School of Single Cell: From the Lab to Data Analysis
7 - 14 September 2022
Plzeň (=Pilsen!), Czechia
Single-cell RNA-seq analysis using R
3 - 7 October 2022
Analysis of single cell RNASeq data from 10x Genomics, Leuven
13 - 14 October 2022