Register training material
14 materials found

Authors: Obi Griffith  or blankclemens  or Boris Steipe 


Informatics for RNA-Seq Analysis 2018 Module 3-Expression and Differential Expression

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2018 Module 3-Expression and Differential Expression https://tess.elixir-europe.org/materials/informatics-for-rna-seq-analysis-2018-module-3-expression-and-differential-expression Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages. Researchers Biologists, Genomicists, Computer Scientists Graduate Students Post-Doctoral Fellows
Exploratory Analysis of Biological Data using R 2018

Course covered for this workshop are broadly relevant for many areas of modern, quantitative biology such as flow cytometry, expression profile analysis, function prediction and more.

Exploratory Analysis of Biological Data using R 2018 https://tess.elixir-europe.org/materials/exploratory-analysis-of-biological-data-using-r-2018 Course covered for this workshop are broadly relevant for many areas of modern, quantitative biology such as flow cytometry, expression profile analysis, function prediction and more. Researchers Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate students
Introduction to R 2018

Course introduces essential ideas and tools of R, and covers statistical tests in R.

Introduction to R 2018 https://tess.elixir-europe.org/materials/introduction-to-r-2018 Course introduces essential ideas and tools of R, and covers statistical tests in R. Researchers Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate students
Informatics for RNA-Seq Analysis 2017 Module 3-Expression and Differential Expression

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2017 Module 3-Expression and Differential Expression https://tess.elixir-europe.org/materials/informatics-for-rna-seq-analysis-2017-module-3-expression-and-differential-expression Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages. Researchers Graduate Students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Exploratory Analysis of Biological Data using R 2017 Module 5-Hypothesis Testing

Course covers essential tools and strategies that are available for EDA through the free statistical workbench R.

Exploratory Analysis of Biological Data using R 2017 Module 5-Hypothesis Testing https://tess.elixir-europe.org/materials/exploratory-analysis-of-biological-data-using-r-2017-module-5-hypothesis-testing Course covers essential tools and strategies that are available for EDA through the free statistical workbench R. Researchers Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate Students
Exploratory Analysis of Biological Data using R 2017 Module 4-Clustering

Course covers essential tools and strategies that are available for EDA through the free statistical workbench R.

Exploratory Analysis of Biological Data using R 2017 Module 4-Clustering https://tess.elixir-europe.org/materials/exploratory-analysis-of-biological-data-using-r-2017-module-4-clustering Course covers essential tools and strategies that are available for EDA through the free statistical workbench R. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Exploratory Analysis of Biological Data using R 2017 Module 3-Dimension Reduction

Course covers essential tools and strategies that are available for EDA through the free statistical workbench R.

Exploratory Analysis of Biological Data using R 2017 Module 3-Dimension Reduction https://tess.elixir-europe.org/materials/exploratory-analysis-of-biological-data-using-r-2017-module-3-dimension-reduction Course covers essential tools and strategies that are available for EDA through the free statistical workbench R. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Exploratory Analysis of Biological Data using R 2017 Module 2-Regression

Course covers essential tools and strategies that are available for EDA through the free statistical workbench R.

Exploratory Analysis of Biological Data using R 2017 Module 2-Regression https://tess.elixir-europe.org/materials/exploratory-analysis-of-biological-data-using-r-2017-module-2-regression Course covers essential tools and strategies that are available for EDA through the free statistical workbench R. Researchers Graduate Students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Exploratory Analysis of Biological Data using R 2017 Module 1-Exploratory Data Analysis

Course covers essential tools and strategies that are available for EDA through the free statistical workbench R.

Exploratory Analysis of Biological Data using R 2017 Module 1-Exploratory Data Analysis https://tess.elixir-europe.org/materials/exploratory-analysis-of-biological-data-using-r-2017-module-1-exploratory-data-analysis Course covers essential tools and strategies that are available for EDA through the free statistical workbench R. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Introduction to R 2017

Course covers the bioinformatics tools available for meeting the challenges of data handling and breaking down problems into structured parts using R.

Introduction to R 2017 https://tess.elixir-europe.org/materials/introduction-to-r-2017 Course covers the bioinformatics tools available for meeting the challenges of data handling and breaking down problems into structured parts using R. Researchers Graduate Students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
High-Throughput Biology 2017 Module 9-Expression and Differential Expression

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 9-Expression and Differential Expression https://tess.elixir-europe.org/materials/high-throughput-biology-2017-module-9-expression-and-differential-expression 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
Development in Galaxy - Galaxy Webhooks

Galaxy is an open-source project. Everyone can contribute to its development with core Galaxy development, integration of softwares in Galaxy environment, ... Questions of the tutorial: - What are Galaxy Webhooks? - How to create them? Objectives of the tutorial: - Discover what Galaxy...

Resource type: Tutorial

Development in Galaxy - Galaxy Webhooks https://tess.elixir-europe.org/materials/development-in-galaxy-galaxy-webhooks Galaxy is an open-source project. Everyone can contribute to its development with core Galaxy development, integration of softwares in Galaxy environment, ... Questions of the tutorial: - What are Galaxy Webhooks? - How to create them? Objectives of the tutorial: - Discover what Galaxy Webhooks are - Be able to create Webhooks - Be able to add a Galaxy Webhook in a Galaxy instance
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
Introduction to Galaxy Analyses - From peaks to genes

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 use Galaxy? - How to get...

Resource type: Tutorial

Introduction to Galaxy Analyses - From peaks to genes https://tess.elixir-europe.org/materials/galaxy-introduction-from-peaks-to-genes 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 use Galaxy? - How to get from peak regions to a list of gene names? 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