Register training material
3 materials found

Authors: Jared Simpson  or Eija Korpelainen  or Maria Victoria .  or Julie Sullivan  or Friederike Ehrhart  or nekrut  or Boris Steipe 

and

Content provider: GOBLET  or eNanoMapper 


How to use the statistics module of ArrayAnalysis.org for statistics analysis of microarray data

This tutorial how to statistically analyze microarray data with ArrayAnalysis.org website.

Keywords: ArrayAnalysis.org, microarray

How to use the statistics module of ArrayAnalysis.org for statistics analysis of microarray data https://tess.elixir-europe.org/materials/how-to-use-the-statistics-module-of-arrayanalysis-org-for-statistics-analysis-of-microarray-data This tutorial how to statistically analyze microarray data with ArrayAnalysis.org website. ArrayAnalysis.org, microarray post-docs
Browsing the eNanoMapper ontology with BioPortal, AberOWL and Protégé

This tutorial explains how the eNanoMapper ontology can be browsed with three tools, of which two are online.

Keywords: nanotoxicology, Ontologies, BioPortal, AberOWL, Protégé

Resource type: Tutorial

Browsing the eNanoMapper ontology with BioPortal, AberOWL and Protégé https://tess.elixir-europe.org/materials/browsing-the-enanomapper-ontology-with-bioportal-aberowl-and-protege This tutorial explains how the eNanoMapper ontology can be browsed with three tools, of which two are online. nanotoxicology, Ontologies, BioPortal, AberOWL, Protégé PhD students post-docs
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