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Analysis of single-cell RNA-seq data


Recent technological advances have made it possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNA-seq). Even though scRNA-seq makes it possible to address problems that are intractable with bulk RNA-seq data, analysing scRNA-seq is also more challenging.

In this course we will be surveying the existing problems as well as the available computational and statistical frameworks available for the analysis of scRNA-seq.



  • The course is intended for those who have basic familiarity with Unix and the R scripting language
  • We will assume that you are familiar with mapping and analysing bulk RNA-seq data as well as with the commonly available computational tools.
  • We recommend either attending or working through the materials of, the An Introduction to Solving Biological Problems with R and the Introduction to RNA-seq data analysis before attending this course.
  • The course will be mostly beneficial to those who have, or will shortly have, scRNA-seq data ready to analyse.


For additional information, follow this link.

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