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44 materials found

Authors: Jared Simpson  or Eija Korpelainen  or Maria Victoria .  or Julie Sullivan  or Friederike Ehrhart  or nekrut  or Bernardo Clavijo 


Introduction to Galaxy - Understanding Galaxy history system

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - How do Galaxy histories...

Resource type: Tutorial

Introduction to Galaxy - Understanding Galaxy history system https://tess.elixir-europe.org/materials/introduction-to-galaxy-understanding-galaxy-history-system Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - How do Galaxy histories work? Objectives of the tutorial: - Gain understanding on navigating and manipulating histories
Transcriptomics - Reference-based RNAseq data analysis (long)

Training material for all kinds of transcriptomics analysis. Questions of the tutorial: - How to perform analysis of RNAseq data when reference genome is available? Objectives of the tutorial: - Learns basic concepts of RNAseq analysis

Resource type: Tutorial

Transcriptomics - Reference-based RNAseq data analysis (long) https://tess.elixir-europe.org/materials/transcriptomics-reference-based-rnaseq-data-analysis-long Training material for all kinds of transcriptomics analysis. Questions of the tutorial: - How to perform analysis of RNAseq data when reference genome is available? Objectives of the tutorial: - Learns basic concepts of RNAseq analysis
Assembly - Unicycler Assembly

DNA sequence data has become an indispensable tool for Molecular Biology & Evolutionary Biology. Study in these fields now require a genome sequence to work from. We call this a 'Reference Sequence.' We need to build a reference for each species. We do this by Genome Assembly. De novo Genome...

Resource type: Tutorial

Assembly - Unicycler Assembly https://tess.elixir-europe.org/materials/assembly-unicycler-assembly DNA sequence data has become an indispensable tool for Molecular Biology & Evolutionary Biology. Study in these fields now require a genome sequence to work from. We call this a 'Reference Sequence.' We need to build a reference for each species. We do this by Genome Assembly. De novo Genome Assembly is the process of reconstructing the original DNA sequence from the fragment reads alone. Questions of the tutorial: - I have short reads and long reads. How do I assemble a genome? Objectives of the tutorial: - Perform Quality Control on your reads - Perform a Small genome Assembly with Unicycler - Evaluate the Quality of the Assembly with Quast - Annotate the assembly with Prokka
Introduction to Galaxy Analyses - IGV Introduction

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.

Resource type: Tutorial

Introduction to Galaxy Analyses - IGV Introduction https://tess.elixir-europe.org/materials/galaxy-introduction-igv-introduction Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.
Introduction to Galaxy - Multisample Analysis

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.

Resource type: Tutorial

Introduction to Galaxy - Multisample Analysis https://tess.elixir-europe.org/materials/galaxy-introduction-multisample-analysis Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.
Introduction to Galaxy - Using dataset collection

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - How to manipulate large numbers...

Resource type: Tutorial

Introduction to Galaxy - Using dataset collection https://tess.elixir-europe.org/materials/galaxy-introduction-collections Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - How to manipulate large numbers of datasets at once? Objectives of the tutorial: - Understand and master dataset collections
Introduction to Galaxy Analyses - Galaxy 101

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - Which coding exon has the...

Resource type: Tutorial

Introduction to Galaxy Analyses - Galaxy 101 https://tess.elixir-europe.org/materials/galaxy-introduction-galaxy-101 Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - Which coding exon has the highest number of single nucleotide polymorphisms (SNPs) on human chromosome 22? Objectives of the tutorial: - Familiarize yourself with the basics of Galaxy - Learn how to obtain data from external sources - Learn how to run tools - Learn how histories work - Learn how to create a workflow - Learn how to share your work
Genome assembly and validation

Course materials from the 2015 de novo course.

Keywords: Earlham Institute

Genome assembly and validation https://tess.elixir-europe.org/materials/genome-assembly-and-validation Course materials from the 2015 de novo course. Earlham Institute
Data QC and preparation

Course materials from the data QC and preparation course.

Keywords: Earlham Institute

Data QC and preparation https://tess.elixir-europe.org/materials/data-qc-and-preparation Course materials from the data QC and preparation course. Earlham Institute
A simple genome assembly

Course materials from the 2015 De Novo course.

Keywords: Earlham Institute

A simple genome assembly https://tess.elixir-europe.org/materials/a-simple-genome-assembly Course materials from the 2015 De Novo course. Earlham Institute
First pass assembly and QC

Course materials from the 2015 De Novo course.

Keywords: Earlham Institute

First pass assembly and QC https://tess.elixir-europe.org/materials/first-pass-assembly-and-qc Course materials from the 2015 De Novo course. Earlham Institute
Sequencing Technologies

Course materials from the 2015 de novo course.

Scientific topics: Sequencing

Keywords: De Novo, Earlham Institute

Sequencing Technologies https://tess.elixir-europe.org/materials/sequencing-technologies Course materials from the 2015 de novo course. Sequencing De Novo, Earlham Institute
SeqAhead: NGS current challenges and data analysis for plant researchers

Complete course materials from the 2014 NGS course.

Keywords: next generation sequencing, Earlham Institute

SeqAhead: NGS current challenges and data analysis for plant researchers https://tess.elixir-europe.org/materials/seqahead-ngs-current-challenges-and-data-analysis-for-plant-researchers Complete course materials from the 2014 NGS course. next generation sequencing, Earlham Institute
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