Authors: Malachi Griffith or Maria Lehtivaara
This course introduces single cell RNA-seq data analysis methods, tools and file formats. It covers the processing of transcript counts from quality control and filtering to dimensional reduction, clustering, and differential expression analysis. You will also learn how to do integrated analysis...
Keywords: scRNA-seq
Resource type: Slides, Training materials
Materials from the ELIXIR tutorial “RNA-seq data analysis using Chipster”, Jan 31, 2017
Scientific topics: Transcriptomics, Genomics
Keywords: transcriptomics, RNA-Seq, eLearning, EeLP
Resource type: course materials, Training materials, Slides, Video
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...
Scientific topics: RNA-Seq
Keywords: RNA-Seq, Single Cell technologies, scRNA-seq
Resource type: course materials, Video
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.
This course introduces community analysis of amplicon sequencing data (16S rRNA). It covers preprocessing, taxonomic classification, and statistical analysis for marker gene studies. The user-friendly Chipster software is used in the exercises, so no Unix or R experience is required and the...
Resource type: course materials, Video
This course introduces RNA-seq data analysis methods, tools and file formats. It covers all the steps from quality control and alignment to quantification and differential expression analysis, and also experimental design is discussed. The user-friendly Chipster software is used in the exercises,...
Scientific topics: RNA-Seq
Resource type: course materials, Video
Metagenomics investigates the composition and function of microbial communities in different environments based on direct isolation of genetic material. It has been accelerated by the advances in high-throughput sequencing technologies, and the increasing data sizes require efficient analysis...
Scientific topics: Metagenomics
Resource type: Video, course materials