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19 materials found

Authors: Jared Simpson  or joachimwolff  or Anamaria Crisan 


Infectious Disease Genomic Epidemiology 2018 Module 7-Data Visualization

Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.

Infectious Disease Genomic Epidemiology 2018 Module 7-Data Visualization https://tess.elixir-europe.org/materials/infectious-disease-genomic-epidemiology-2018-module-7-data-visualization Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools. Researchers Post-Doctoral Fellows Graduate students Biologists, Genomicists, Computer Scientists
Infectious Disease Genomic Epidemiology 2018 Module 5-Phylogeographic Analysis

Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.

Infectious Disease Genomic Epidemiology 2018 Module 5-Phylogeographic Analysis https://tess.elixir-europe.org/materials/infectious-disease-genomic-epidemiology-2018-module-5-phylogeographic-analysis Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
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
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
Infectious Disease Genomic Epidemiology 2017 Module 7-Data Visualization

Course provides an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.

Infectious Disease Genomic Epidemiology 2017 Module 7-Data Visualization https://tess.elixir-europe.org/materials/infectious-disease-genomic-epidemiology-module-7-data-visualization Course provides an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools. 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
Genome Annotation - Genome Annotation

Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control regions, direct and inverted repeats, insertion sequences, transposons and other mobile elements.

Resource type: Tutorial

Genome Annotation - Genome Annotation https://tess.elixir-europe.org/materials/genome-annotation-genome-annotation Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control regions, direct and inverted repeats, insertion sequences, transposons and other mobile elements.
Epigenetics - Hi-C analysis of Drosophila melanogaster cells using HiCExplorer

DNA methylation is an epigenetic mechanism used by higher eukaryotes and involved in e.g. gene expression, X-Chromosome inactivating, imprinting, and gene silencing of germline specific gene and repetitive elements. Questions of the tutorial: - Why is a Hi-C analysis useful? - What is...

Resource type: Tutorial

Epigenetics - Hi-C analysis of Drosophila melanogaster cells using HiCExplorer https://tess.elixir-europe.org/materials/epigenetics-hi-c-analysis-of-drosophila-melanogaster-cells-using-hicexplorer DNA methylation is an epigenetic mechanism used by higher eukaryotes and involved in e.g. gene expression, X-Chromosome inactivating, imprinting, and gene silencing of germline specific gene and repetitive elements. Questions of the tutorial: - Why is a Hi-C analysis useful? - What is 'chromosome conformation capture'? - What are main steps in order to generate and plot a Hi-C contact matrix?
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.
ChIP-Seq data analysis - Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1)

ChIP-sequencing is a method used to analyze protein interactions with DNA. Questions of the tutorial: - How is raw ChIP-seq data processed and analyzed? - What are the binding sites of Tal1? - Which genes are regulated by Tal1? Objectives of the tutorial: - Inspect read quality with FastQC -...

Resource type: Tutorial

ChIP-Seq data analysis - Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1) https://tess.elixir-europe.org/materials/chip-seq-data-analysis-identification-of-the-binding-sites-of-the-t-cell-acute-lymphocytic-leukemia-protein-1-tal1 ChIP-sequencing is a method used to analyze protein interactions with DNA. Questions of the tutorial: - How is raw ChIP-seq data processed and analyzed? - What are the binding sites of Tal1? - Which genes are regulated by Tal1? Objectives of the tutorial: - Inspect read quality with FastQC - Perform read trimming with Trimmomatic - Align trimmed reads with BWA - Assess quality and reproducibility of experiments - Identify Tal1 binding sites with MACS2 - Determine unique/common Tal1 binding sites from G1E and Megakaryocytes - Identify unique/common Tal1 peaks occupying gene promoters - Visually inspect Tal1 peaks with Trackster
Epigenetics - DNA Methylation data analysis

DNA methylation is an epigenetic mechanism used by higher eukaryotes and involved in e.g. gene expression, X-Chromosome inactivating, imprinting, and gene silencing of germline specific gene and repetitive elements. Questions of the tutorial: - What is methylation and why it cannot be...

Resource type: Tutorial

Epigenetics - DNA Methylation data analysis https://tess.elixir-europe.org/materials/epigenetics-dna-methylation-data-analysis DNA methylation is an epigenetic mechanism used by higher eukaryotes and involved in e.g. gene expression, X-Chromosome inactivating, imprinting, and gene silencing of germline specific gene and repetitive elements. Questions of the tutorial: - What is methylation and why it cannot be recognised by a normal NGS procedure? - Can a different methylation influence the expression of a gene? How? - Which tools you can use to analyse methylation data? Objectives of the tutorial: - Learn how to analyse methylation data - Get a first intuition what are common pitfalls.
Epigenetics - Introduction to DNA Methylation data analysis

DNA methylation is an epigenetic mechanism used by higher eukaryotes and involved in e.g. gene expression, X-Chromosome inactivating, imprinting, and gene silencing of germline specific gene and repetitive elements.

Epigenetics - Introduction to DNA Methylation data analysis https://tess.elixir-europe.org/materials/epigenetics-introduction DNA methylation is an epigenetic mechanism used by higher eukaryotes and involved in e.g. gene expression, X-Chromosome inactivating, imprinting, and gene silencing of germline specific gene and repetitive elements.
Sequence analysis - Mapping

Analyses of sequences Questions of the tutorial: - What two things are crucial for a correct mapping? - What is BAM? Objectives of the tutorial: - You will learn what mapping is - A genome browser is shown that helps you to understand your data

Resource type: Tutorial

Sequence analysis - Mapping https://tess.elixir-europe.org/materials/analysis-of-sequences-mapping Analyses of sequences Questions of the tutorial: - What two things are crucial for a correct mapping? - What is BAM? Objectives of the tutorial: - You will learn what mapping is - A genome browser is shown that helps you to understand your data