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Target audience: Training Designers  or Bench biologists 

and

Authors: Jared Simpson  or Eija Korpelainen  or Maria Victoria .  or Julie Sullivan  or Friederike Ehrhart  or nekrut  or Michael Love  or Allegra Via  or Sarah Morgan 

ELIXIR EXCELERATE Train the Trainer

This set of course material was designed in the context of the ELIXIR EXCELERATE Train the Trainer programme. It covers four sessions: * Learning principles and how they apply to training and teaching * Teaching techniques that can be used to enhance learner engagement and participation *...

Keywords: Train the trainer, Pedagogy, Course development, Course design

Resource type: Training materials

ELIXIR EXCELERATE Train the Trainer https://tess.elixir-europe.org/materials/elixir-excelerate-train-the-trainer This set of course material was designed in the context of the ELIXIR EXCELERATE Train the Trainer programme. It covers four sessions: * Learning principles and how they apply to training and teaching * Teaching techniques that can be used to enhance learner engagement and participation * Lesson, course, and materials design * Assessment and feedback in training and teaching Train the trainer, Pedagogy, Course development, Course design Trainers Training instructors Training Designers teachers
RNA-seq data analysis: from raw reads to differentially expressed genes

This course material introduces the central concepts, analysis steps and file formats in RNA-seq data analysis. It covers the analysis from quality control to differential expression detection, and workflow construction and several data visualizations are also practised. The material consists of...

Scientific topics: Sequencing, RNA, Data architecture, analysis and design, Bioinformatics

Keywords: Bioinformatics, Differential expression, Ngs, Rna seq

RNA-seq data analysis: from raw reads to differentially expressed genes https://tess.elixir-europe.org/materials/rna-seq-data-analysis-from-raw-reads-to-differentially-expressed-genes This course material introduces the central concepts, analysis steps and file formats in RNA-seq data analysis. It covers the analysis from quality control to differential expression detection, and workflow construction and several data visualizations are also practised. The material consists of 10-30 minute lectures intertwined with hands-on exercises, and it can be accomplished in a day. As the user-friendly Chipster software is used in the exercises, no prior knowledge of R/Bioconductor or Unix ir required, and the course is thus suitable for everybody. Our book RNA-seq data analysis: A practical approach (CRC Press) can be used as background reading. The following topics and analysis tools are covered: 1. Introduction to the Chipster analysis platform 2. Quality control of raw reads (FastQC, PRINSEQ) 3. Preprocessing (Trimmomatic, PRINSEQ) 4. Alignment to reference genome (TopHat2) 5. Alignment level quality control (RseQC) 6. Quantitation (HTSeq) 7. Experiment level quality control with PCA and MDS plots 8. Differential expression analysis (DESeq2, edgeR) -normalization -dispersion estimation -statistical testing -controlling for batch effects, multifactor designs -filtering -multiple testing correction 9. Visualization of reads and results -genome browser -Venn diagram -volcano plot -plotting normalized counts for a gene -expression profiles 10. Experimental design Sequencing RNA Data architecture, analysis and design Bioinformatics Bioinformatics, Differential expression, Ngs, Rna seq Bench biologists Life Science Researchers 2015-12-04 2017-10-09