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Target audience: e-learning experts  or bioinformaticians 

and

Contributors: Prof. Tom Freeman  or Andrea Argentini  or Mateusz Kuzak  or Matthias Fahrner  or Eija Korpelainen 

Implementation of Data Management Plans & Data Stewardship in practice

Materials from the ELIXIR workshop “Implementation of Data Management Plans & Data Stewardship in practice”, Sept 11, 2018 at ECCB2018, Athens, Greece.

Scientific topics: Data submission, annotation, and curation, Data management

Keywords: data management, data stewardship, eLearning, EeLP

Resource type: course materials, Training materials, Slides

Implementation of Data Management Plans & Data Stewardship in practice https://tess.elixir-europe.org/materials/implementation-of-data-management-plans-data-stewardship-in-practice Materials from the ELIXIR workshop “Implementation of Data Management Plans & Data Stewardship in practice”, Sept 11, 2018 at ECCB2018, Athens, Greece. Celia van Gelder Roland Krause Mateusz Kuzak Brane Leskosek Marko Vidak Robert Pergl Marek Suchanek Jan Slifka Vojtech Knaisl Data submission, annotation, and curation Data management data management, data stewardship, eLearning, EeLP bioinformaticians data stewards
Single cell RNA-seq data analysis with R

This hands-on course introduces the participants to single cell RNA-seq data analysis concepts and popular tools and 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...

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://tess.elixir-europe.org/materials/single-cell-rna-seq-data-analysis-with-r This hands-on course introduces the participants to single cell RNA-seq data analysis concepts and popular tools and 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 analysis. Eija Korpelainen RNA-Seq RNA-Seq, Single Cell technologies, scRNA-seq bioinformaticians Biologists
Single cell RNA-seq data analysis with Chipster

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 Seurat tools. You will also...

Scientific topics: RNA-Seq

Keywords: RNA-Seq, Single Cell technologies, scRNA-seq

Resource type: course materials, Video

Single cell RNA-seq data analysis with Chipster https://tess.elixir-europe.org/materials/single-cell-rna-seq-data-analysis-with-chipster-6cc8f0fb-1c92-444b-ab19-b04fe6454430 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 Seurat tools. You will also learn how to compare two samples and detect conserved cluster markers and differentially expressed genes in them. The user-friendly Chipster software is used in the exercises, so no Unix or R experience is required and the course is thus suitable for everybody. Eija Korpelainen RNA-Seq RNA-Seq, Single Cell technologies, scRNA-seq Biologists bioinformaticians