Register training material
12 materials found

Authors: Gary Bader  or pajanne 


Pathways and Network Analysis of -Omics data 2018 Module 3-Network Visualization and Analysis with Cytoscape

Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.

Pathways and Network Analysis of -Omics data 2018 Module 3-Network Visualization and Analysis with Cytoscape http://tess.elixir-uk.org/materials/pathways-and-network-analysis-of-omics-data-2018-module-3-network-visualization-and-analysis-with-cytoscape Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information. Researchers Graduate students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
Pathways and Network Analysis of -Omics Data 2018 Module 1-Introduction to Pathway and Network Analysis

Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.

Pathways and Network Analysis of -Omics Data 2018 Module 1-Introduction to Pathway and Network Analysis http://tess.elixir-uk.org/materials/pathways-and-network-analysis-of-omics-data-2018-module-1-introduction-to-pathway-and-network-analysis Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information. Researchers Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate Students
Pathways and Network Analysis of -Omics Data 2017 Module 3-Network Visualization and Analysis with Cytoscape

Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.

Pathways and Network Analysis of -Omics Data 2017 Module 3-Network Visualization and Analysis with Cytoscape http://tess.elixir-uk.org/materials/pathways-and-network-analysis-of-omics-data-2017-module-3-network-visualization-and-analysis-with-cytoscape Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.
Pathways and Network Analysis 2017 Module 2-Finding Over-Represented Pathways

Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.

Pathways and Network Analysis 2017 Module 2-Finding Over-Represented Pathways http://tess.elixir-uk.org/materials/pathways-and-network-analysis-2017-module-2-finding-over-represented-pathways Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.
Pathways and Network Analysis of -Omics Data 2017 Module 1-Introduction to Pathway and Network Analysis

Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.

Pathways and Network Analysis of -Omics Data 2017 Module 1-Introduction to Pathway and Network Analysis http://tess.elixir-uk.org/materials/pathways-and-network-analysis-of-omics-data-2017-module-1-introduction-to-pathway-and-network-analysis Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list. Researchers Biologists, Genomicists, Computer Scientists Graduate Students Post-Doctoral Fellows
Data Manipulation - Collections: Multisample Analysis

A collection of microtutorials explaining data manipulation within Galaxy

Resource type: Tutorial

Data Manipulation - Collections: Multisample Analysis http://tess.elixir-uk.org/materials/data-manipulation-collections-multisample-analysis A collection of microtutorials explaining data manipulation within Galaxy
Data Manipulation - Data: Getting data into Galaxy

A collection of microtutorials explaining data manipulation within Galaxy

Resource type: Slides

Data Manipulation - Data: Getting data into Galaxy http://tess.elixir-uk.org/materials/data-manipulation-data-getting-data-into-galaxy A collection of microtutorials explaining data manipulation within Galaxy
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 http://tess.elixir-uk.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 Analyses - Options for using Galaxy

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 Galaxy instance should I use?

Resource type: Slides

Introduction to Galaxy Analyses - Options for using Galaxy http://tess.elixir-uk.org/materials/galaxy-introduction-options-for-using-galaxy 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 Galaxy instance should I use?
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 http://tess.elixir-uk.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 http://tess.elixir-uk.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
Introduction to Galaxy Analyses - Introduction to Galaxy

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 Analyses - Introduction to Galaxy http://tess.elixir-uk.org/materials/galaxy-introduction-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.