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Scientific topics: RNA  or Microarray experiment 


How to get the most out of your microarray experiment. A Webinar

Materials from the ELIXIR webinar "How to get the most out of your microarray experiment", Feb 14, 2017

Scientific topics: Microarray experiment

Keywords: life sciences, microarrays, eLearning, EeLP

Resource type: course materials, Training materials, Slides

How to get the most out of your microarray experiment. A Webinar https://tess.elixir-europe.org/materials/how-to-get-the-most-out-of-your-microarray-experiment-a-webinar Materials from the ELIXIR webinar "How to get the most out of your microarray experiment", Feb 14, 2017 Eva Freyhult Jessica Lindvall Mihaela Martis Microarray experiment life sciences, microarrays, eLearning, EeLP Researchers
Introduction to RNA-Seq Using Galaxy: Studying the transcriptome

RNA-Seq provides a method for understanding transcriptional dynamics in biological systems. It has immense power to enhance our understanding of those systems, but carrying out RNA-Seq analysis requires use of multiple related software packages. This hands-on course provides experience in using...

Scientific topics: RNA, RNA-Seq

Keywords: John Innes Centre, JIC

Introduction to RNA-Seq Using Galaxy: Studying the transcriptome https://tess.elixir-europe.org/materials/introduction-to-rna-seq-using-galaxy RNA-Seq provides a method for understanding transcriptional dynamics in biological systems. It has immense power to enhance our understanding of those systems, but carrying out RNA-Seq analysis requires use of multiple related software packages. This hands-on course provides experience in using these packages as part of an RNA-Seq analysis pipeline. RNA RNA-Seq John Innes Centre, JIC Students, postdocs or RAs who have an interest in bioinformatics and who intend to conduct RNA-Seq analysis on a Galaxy platform
Custom training: Ingenuity Pathway Analysis

The aim of this training is to teach you how to use Ingenuity Pathway Analysis (IPA) software on your own data. This can be for various applications: Creating and modifying biological networks e.g. which genes are involved in a certain disease Mapping data to biological processes,...

Scientific topics: Microarray experiment, Proteomics, Protein interactions, Metabolomics

Custom training: Ingenuity Pathway Analysis https://tess.elixir-europe.org/materials/custom-training-ingenuity-pathway-analysis The aim of this training is to teach you how to use Ingenuity Pathway Analysis (IPA) software on your own data. This can be for various applications: Creating and modifying biological networks e.g. which genes are involved in a certain disease Mapping data to biological processes, networks and pathways mapping a list of genes/proteins/chemicals mapping quantitative data e.g. microarray/proteomics/metabolomics data High quality visualisation of biological networks and pathways Assessing the biological significance of pathways in certain physiological conditions e.g. detecting overrepresented pathways in diseases Microarray experiment Proteomics Protein interactions Metabolomics Life Science Researchers post-docs PhD students 2016-04-22 2016-09-26
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
RNA-seq Analysis 2014 Module 4 - Isoform discovery and alternative expression

Explore use of Cufflinks in reference annotation based transcript (RABT) assembly mode and ‘de novo’ assembly mode. Both modes require a reference genome sequence.  

Scientific topics: RNA

Keywords: Alternative expression, Transcript isoforms

RNA-seq Analysis 2014 Module 4 - Isoform discovery and alternative expression https://tess.elixir-europe.org/materials/rna-seq-analysis-2014-module-4-isoform-discovery-and-alternative-expression Explore use of Cufflinks in reference annotation based transcript (RABT) assembly mode and ‘de novo’ assembly mode. Both modes require a reference genome sequence.   RNA Alternative expression, Transcript isoforms Biologists, Genomicists, Computer Scientists Graduate Students Post-Doctoral Fellows Researchers 2014-06-27 2017-10-09