This introductory course covers practical aspects of the analysis of differential gene expression by RNAseq, from planning the gathering of sequence data to the generation of tables of differentially expressed gene lists and visualization of results. For this edition of the course, we will also...
This introductory course covers practical aspects of the analysis of differential gene expression by RNAseq, from planning the gathering of sequence data to the generation of tables of differentially expressed gene lists and visualization of results. For this edition of the course, we will also...
This introductory course covers practical aspects of the analysis of differential gene expression by RNAseq, from planning the gathering of sequence data to the generation of tables of differentially expressed gene lists and visualization of results. We we will also cover some of the initial...
Programme
Monday 27.5.2019
Introduction to single cell RNA-seq (Jules Gilet)
Quality control and data preprocessing (Åsa Björklund)
Normalisation (Heli Pessa)
Removal of confounding factors (Bishwa Ghimire)
Data integration (CCA, MNN, dataset alignment) (Ahmed Mahfouz)
Tuesday...
Scientific topics: RNA-Seq
Keywords: RNA-Seq, Single Cell technologies, scRNA-seq
Resource type: course materials
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...
This course introduces single cell RNA-seq data analysis methods, tools and file formats. It covers the preprocessing steps of DropSeq data from raw reads to a digital gene expression matrix (DGE), and how to find sub-populations of cells using clustering with the...
This is basically the EBI RNA-seq course bundled up in a Docker container using LXDE via TightVNC to provide a graphical environment. The material has been repackaged to use an Ipython Notebook as the learning environment which can be annotated by the learner.
Working Remotely from https://github.com/swcarpentry/bc/tree/gh-pages/novice/extras/07-ssh.md.
Shell Variables from https://github.com/swcarpentry/bc/tree/gh-pages/novice/extras/06-shellvar.md.
Forking a Repository from https://github.com/swcarpentry/bc/tree/gh-pages/novice/extras/02-forking.md.
Branching in Git from https://github.com/swcarpentry/bc/tree/gh-pages/novice/extras/01-branching.md.
Manual Pages from https://github.com/swcarpentry/bc/tree/gh-pages/novice/extras/04-man.md.