Register training material
2 materials found

Difficulty level: Intermediate 

and

Target audience: life scientists  or Biologists 

and

Contributors: Björn Grüning  or Manimozhiyan Arumugam  or Celia van Gelder  or Marek Vrbacky  or Nils Peder Willassen  or Marek Suchanek  or Jalview Coordinator  or Derek Wright  or Juha Tornroos  or Eija Korpelainen 


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
Text-mining exercises

Hands-on exercises using a variety of text-mining tools and databases based on text mining, to interpret the results from microbiome studies.

Scientific topics: Data mining, Natural language processing, Metagenomics, Microbial ecology

Text-mining exercises https://tess.elixir-europe.org/materials/text-mining-exercises Hands-on exercises using a variety of text-mining tools and databases based on text mining, to interpret the results from microbiome studies. Manimozhiyan Arumugam Data mining Natural language processing Metagenomics Microbial ecology Bioinformaticians Biologists