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Scientific topics: RNA  or Omics 


Datanator tutorial

Datanator is an integrated database of genomic and biochemical data designed to help investigators find data about specific molecules and reactions in specific organisms and specific environments for meta-analyses and mechanistic models. Datanator currently includes metabolite concentrations, RNA...

Scientific topics: Omics, Bioinformatics, Systems biology, Cell biology, Molecular biology

Operations: Filtering, Query and retrieval

Keywords: genomics, Proteomics, transcriptomics, Metabolomics, reaction kinetics, Kinetic modeling, meta analysis

Resource type: Tutorial

Datanator tutorial https://tess.elixir-europe.org/materials/datanator-tutorial Datanator is an integrated database of genomic and biochemical data designed to help investigators find data about specific molecules and reactions in specific organisms and specific environments for meta-analyses and mechanistic models. Datanator currently includes metabolite concentrations, RNA modifications and half-lives, protein abundances and modifications, and reaction kinetics integrated from several databases and numerous publications. The Datanator website and REST API provide tools for extracting clouds of data about specific molecules and reactions in specific organisms and specific environments, as well as data about similar molecules and reactions in taxonomically similar organisms. This tutorial provides a brief introduction to the Datanator database and web application. The tutorial illustrates how to search the Datanator database and obtain and refine clouds of data about specific metabolites, RNA, proteins, and reactions of interest. Omics Bioinformatics Systems biology Cell biology Molecular biology genomics, Proteomics, transcriptomics, Metabolomics, reaction kinetics, Kinetic modeling, meta analysis mololecular cell biologists systems biologists bioinformaticians Computational biologists modelers
Bioinformatics Summer School 2019

This one-week intensive summer school in bioinformatics will focus on data analysis and high throughput biology, with a special focus on R/Bioconductor and its application to a wide range of topics across bioinformatics and computational biology. The course is intended for researchers who are...

Scientific topics: Statistics and probability, Omics, RNA-Seq, Proteomics

Operations: Data handling

Bioinformatics Summer School 2019 https://tess.elixir-europe.org/materials/bioinformatics-summer-school-2019 This one-week intensive summer school in bioinformatics will focus on data analysis and high throughput biology, with a special focus on R/Bioconductor and its application to a wide range of topics across bioinformatics and computational biology. The course is intended for researchers who are familiar with omics experimental technologies and their applications in biology, have had some exposure with R, and who want to learn or expand their bioinformatics skills. Martin Morgan Laurent Gatto Janick Mathys Lieven Clement Charlotte Soneson Koen Van den Berge Oliver Crook Statistics and probability Omics RNA-Seq Proteomics PhD students
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
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