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 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...

This workshop introduces the participants to RNA-seq data analysis methods, tools and file formats. It covers the whole workflow from quality control and alignment to quantification and differential gene expression analysis. While this course focuses on differential gene expression analysis...

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...

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,...

This course introduces the VirusDetect pipeline covering all the analysis steps and file formats. VirusDetect allows you to detect known viruses and identify news ones by sequencing small RNAs (siRNA) in host samples. siRNA sequences are assembled to contigs and compared to known virus sequences....

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...

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 training video series includes four short videos on research data management. The titles of the videos are the following:

1. Introduction to data management for life science researchers
2. Introduction to data management planning
3. Introduction to sections of a generic ​data management...

This material is CSC's Rahti basic cloud course which consists of lectures and hands-on exercises on creating and managing virtual resources in OpenShift OKD (Kubernetes). The original material was produced by Shubham Kapoor and Juhani Kataja, and updated by Tewodros Deneke and Alvaro Gonzalez

This material is based on CSC's Pouta cloud course which consists of lectures and hands-on exercises on creating and managing virtual resources in OpenStack (VM, volumes, networks, security Groups, VM snapshots, etc). It also covers topics like orchestration with Heat and accessing Pouta Object...