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Authors: Jared Simpson  or Eija Korpelainen  or Maria Victoria .  or Julie Sullivan  or Friederike Ehrhart  or nekrut  or Charlotte Soneson @charlott... 


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
ELIXIR eLearning definitions

Materials from the asynchronous learning course "ELIXIR eLearning definitions"

Keywords: eLearning, training, EeLP

Resource type: course materials, Training materials, Documentation

ELIXIR eLearning definitions https://tess.elixir-europe.org/materials/elixir-elearning-definitions Materials from the asynchronous learning course "ELIXIR eLearning definitions" Brane Leskosek Jure Dimec Eija Korpelainen Teresa Attwood Sarah Morgan Nicola Mulder Celia van Gelder Patricia Palagi eLearning, training, EeLP Researchers teachers Trainers
RNA-seq data analysis using Chipster

Materials from the ELIXIR tutorial “RNA-seq data analysis using Chipster”, Jan 31, 2017

Scientific topics: Transcriptomics, Genomics

Keywords: transcriptomics, RNA-Seq, eLearning, EeLP

Resource type: course materials, Training materials, Slides, Video

RNA-seq data analysis using Chipster https://tess.elixir-europe.org/materials/rna-seq-data-analysis-using-chipster Materials from the ELIXIR tutorial “RNA-seq data analysis using Chipster”, Jan 31, 2017 Eija Korpelainen Maria Lehtivaara Transcriptomics Genomics transcriptomics, RNA-Seq, eLearning, EeLP Researchers
Informatics on High-Throughput Sequencing Data 2018 Module 6-De Novo Assmebly

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.

Informatics on High-Throughput Sequencing Data 2018 Module 6-De Novo Assmebly https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-2018-module-6-de-novo-assmebly Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads. Researchers Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate students
Informatics on High-Throughput Sequencing Data 2018 Module 1-Introduction to High-Throughput Sequencing

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.

Informatics on High-Throughput Sequencing Data 2018 Module 1-Introduction to High-Throughput Sequencing https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-2018-module-1-introduction-to-high-throughput-sequencing Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads. Researchers Graduate students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
Bioinformatics for Cancer Genomics 2018 Module 5-Genome Assembly

Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.

Bioinformatics for Cancer Genomics 2018 Module 5-Genome Assembly https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2018-module-5-genome-assembly Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Bioinformatics for Cancer Genomics 2018 Module 4-Genome Alignment

Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.

Bioinformatics for Cancer Genomics 2018 Module 4-Genome Alignment https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2018-module-4-genome-alignment Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
How to install and load the Identifier Mapping Service with data needed for gene-to-variant and variant-to-gene

Tutorial describing how a BridgeDb Identifier Mapping Database (IMS) service can be started and used for gene-variant mapping.

Scientific topics: Genetic variation, Genomics

Resource type: Tutorial

How to install and load the Identifier Mapping Service with data needed for gene-to-variant and variant-to-gene https://tess.elixir-europe.org/materials/how-to-install-and-load-the-identifier-mapping-service-with-data-needed-for-gene-to-variant-and-variant-to-gene Tutorial describing how a BridgeDb Identifier Mapping Database (IMS) service can be started and used for gene-variant mapping. Genetic variation Genomics Biologists
Bioinformatics for Cancer Genomics 2017 Module 3-Genome Alignment and Assembly

Course covers the bioinformatics tools required to analyze genomic data sets.

Bioinformatics for Cancer Genomics 2017 Module 3-Genome Alignment and Assembly https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2017-module-3-genome-alignment-and-assembly Course covers the bioinformatics tools required to analyze genomic data sets. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Informatics on High-Throughput Sequencing Data 2017 Module 6-De Novo Assembly

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.

Informatics on High-Throughput Sequencing Data 2017 Module 6-De Novo Assembly https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-2017-module-6-de-novo-assembly Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads. Researchers Graduate Students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
Informatics on High-Throughput Sequencing Data 2017 Module 1-Introduction to High-Throughput Sequencing

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.

Informatics on High-Throughput Sequencing Data 2017 Module 1-Introduction to High-Throughput Sequencing https://tess.elixir-europe.org/materials/informatics-on-high-throughput-sequencing-data-module-1-introduction-to-high-throughput-sequencing Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
High-Throughput Biology 2017 Module 6-De Novo Assembly

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

High-Throughput Biology 2017 Module 6-De Novo Assembly https://tess.elixir-europe.org/materials/high-throughput-biology-2017-module-6-de-novo-assembly Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
High-Throughput Biology 2017 Module 1-Introduction to High-Throughput Sequencing

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

High-Throughput Biology 2017 Module 1-Introduction to High-Throughput Sequencing https://tess.elixir-europe.org/materials/high-throughput-biology-2017-module-1-introduction-to-high-throughput-sequencing Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome. Graduate students Post-Doctoral Fellows Researchers Biologists, Genomicists, Computer Scientists
Data Manipulation - Collections: Multisample Analysis

A collection of microtutorials explaining data manipulation within Galaxy

Resource type: Tutorial

Data Manipulation - Collections: Multisample Analysis https://tess.elixir-europe.org/materials/data-manipulation-collections-multisample-analysis A collection of microtutorials explaining data manipulation within Galaxy
Data Manipulation - Collections: Using dataset collection

A collection of microtutorials explaining data manipulation within Galaxy Questions of the tutorial: - How to manipulate large numbers of datasets at once? Objectives of the tutorial: - Understand and master dataset collections

Resource type: Tutorial

Data Manipulation - Collections: Using dataset collection https://tess.elixir-europe.org/materials/data-manipulation-collections-using-dataset-collection A collection of microtutorials explaining data manipulation within Galaxy Questions of the tutorial: - How to manipulate large numbers of datasets at once? Objectives of the tutorial: - Understand and master dataset collections
User Interface and Features - Histories: Understanding Galaxy history system

A collection of microtutorials explaining various features of the Galaxy user interface Questions of the tutorial: - How do Galaxy histories work? Objectives of the tutorial: - Gain understanding on navigating and manipulating histories

Resource type: Tutorial

User Interface and Features - Histories: Understanding Galaxy history system https://tess.elixir-europe.org/materials/user-interface-and-features-histories-understanding-galaxy-history-system A collection of microtutorials explaining various features of the Galaxy user interface Questions of the tutorial: - How do Galaxy histories work? Objectives of the tutorial: - Gain understanding on navigating and manipulating histories
Assembly - Making sense of a newly assembled genome

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 - Making sense of a newly assembled genome https://tess.elixir-europe.org/materials/assembly-making-sense-of-a-newly-assembled-genome 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 just assembled a genome. How does it compare with already sequenced genomes? - How do I find rearranged, inserted, or deleted regions? Objectives of the tutorial: - Identification of the most closely related genome to my new assembly - Perform sequence comparison to locate rearrangements - Identify genes located in deletions
Variant Analysis - Calling very rare variants

Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - What frequency of variants is so low that it is obscured by sequencing error rate? - What are the different types of consensus sequences produced from duplex sequencing? Objectives of...

Resource type: Tutorial

Variant Analysis - Calling very rare variants https://tess.elixir-europe.org/materials/variant-analysis-calling-very-rare-variants Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - What frequency of variants is so low that it is obscured by sequencing error rate? - What are the different types of consensus sequences produced from duplex sequencing? Objectives of the tutorial: - Processing raw duplex sequencing data into consensus sequences - Find rare variants without relying on diploid assumptions
Variant Analysis - Calling variants in diploid systems

Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - How to find variable sites in diploid genomes? Objectives of the tutorial: - Using Galaxy's main site we will see how to call variants in human genome.

Resource type: Tutorial

Variant Analysis - Calling variants in diploid systems https://tess.elixir-europe.org/materials/variant-analysis-calling-variants-in-diploid-systems Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - How to find variable sites in diploid genomes? Objectives of the tutorial: - Using Galaxy's main site we will see how to call variants in human genome.
Variant Analysis - Calling variants in non-diploid systems

Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - How does frequency of mitochondrial polymorphisms change from mother to child? Objectives of the tutorial: - Using Galaxy's main site we will see how to call variants in bacteria,...

Resource type: Tutorial

Variant Analysis - Calling variants in non-diploid systems https://tess.elixir-europe.org/materials/variant-analysis-calling-variants-in-non-diploid-systems Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - How does frequency of mitochondrial polymorphisms change from mother to child? Objectives of the tutorial: - Using Galaxy's main site we will see how to call variants in bacteria, viruses, and organelles.
Introduction to Galaxy Analyses - NGS data logistics

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 and process...

Resource type: Tutorial

Introduction to Galaxy Analyses - NGS data logistics https://tess.elixir-europe.org/materials/introduction-to-galaxy-ngs-data-logistics 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 and process NGS data Objectives of the tutorial: - Learn about Fastq, SAM, and BAM.
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
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
Material provided by Charlotte Soneson

This folder contains material provided by Charlotte Soneson. The following material is included:

Scientific topics: RNA-Seq

Keywords: RNA-Seq, Differential-expression, Statistical-model, Exploratory-analysis

Material provided by Charlotte Soneson https://tess.elixir-europe.org/materials/material-provided-by-charlotte-soneson This folder contains material provided by Charlotte Soneson. The following material is included: RNA-Seq RNA-Seq, Differential-expression, Statistical-model, Exploratory-analysis