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Contributors: John Sundh or Eija Korpelainen @eija, eko...
Single cell RNA-seq data analysis with R
This international hands-on course covers several aspects of single cell RNA-seq data analysis, ranging from clustering and differential gene expression analysis to trajectories, cell type identification and spatial transcriptomics. The course is kindly sponsored by the ELIXIR EXCELERATE...
Scientific topics: RNA-Seq
Keywords: RNA-Seq, Single Cell technologies, scRNA-seq
Resource type: course materials
Single cell RNA-seq data analysis with R
https://www.csc.fi/web/training/-/scrnaseq
http://tess.elixir-uk.org/materials/single-cell-rna-seq-data-analysis-with-r-26ec3ec0-8f43-47db-9788-7f8f63eb447b
This international hands-on course covers several aspects of single cell RNA-seq data analysis, ranging from clustering and differential gene expression analysis to trajectories, cell type identification and spatial transcriptomics. The course is kindly sponsored by the ELIXIR EXCELERATE project.
Note: You can find all the course material including the R code and data files in the course [GitHub](https://github.com/NBISweden/excelerate-scRNAseq) repository, and the lecture videos are available as a [YouTube playlist](https://www.youtube.com/playlist?list=PLjiXAZO27elC_xnk7gVNM85I2IQl5BEJN).
Eija Korpelainen @eija, ekorpelainen@gmail.com
RNA-Seq
RNA-Seq, Single Cell technologies, scRNA-seq
bioinformaticians
Biologists