Register training material
13 materials found

Authors: Malachi Griffith  or Robin Haw 


Pathways and Network Analysis of -Omics data 2018 Module 4-More Depth on Network and Pathway 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 4-More Depth on Network and Pathway Analysis http://tess.elixir-uk.org/materials/pathways-and-network-analysis-of-omics-data-2018-module-4-more-depth-on-network-and-pathway-analysis Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information. Researchers Post-Doctoral Fellows Graduate Students Biologists, Genomicists, Computer Scientists
Informatics for RNA-Seq Analysis 2018 Module 4-Reference Free Alignment

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 4-Reference Free Alignment http://tess.elixir-uk.org/materials/informatics-for-rna-seq-analysis-2018-module-4-reference-free-alignment Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages. Researchers Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate Students
Informatics for RNA-Seq Analysis 2018 Module 1-Introduction to RNA Sequencing Analysis

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 1-Introduction to RNA Sequencing Analysis http://tess.elixir-uk.org/materials/informatics-for-rna-seq-analysis-2018-module-1-introduction-to-rna-sequencing-analysis 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
Bioinformatics for Cancer Genomics 2018 Module 14-Variants to Networks

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 14-Variants to Networks http://tess.elixir-uk.org/materials/bioinformatics-for-cancer-genomics-2018-module-14-variants-to-networks 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 Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate Students
Informatics for RNA-Seq Analysis 2017 Module 5-Isoform Discovery and Alternative 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 5-Isoform Discovery and Alternative Expression http://tess.elixir-uk.org/materials/informatics-for-rna-seq-analysis-2017-module-5-isoform-discovery-and-alternative-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
Informatics for RNA-Seq Analysis 2017 Module 4-Reference Free Alignment

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 4-Reference Free Alignment http://tess.elixir-uk.org/materials/informatics-for-rna-seq-analysis-2017-module-4-reference-free-alignment 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
Informatics for RNA-Seq Analysis 2017 Module 1-Introduction to RNA Sequencing Analysis

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 1-Introduction to RNA Sequencing Analysis http://tess.elixir-uk.org/materials/informatics-for-rna-seq-analysis-2017-module-1-introduction-to-rna-sequencing-analysis 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 Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
Pathways and Network Analysis with -Omics Data 2017 Module 4-More Depth on Network and Pathway Analysis

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

Pathways and Network Analysis with -Omics Data 2017 Module 4-More Depth on Network and Pathway Analysis http://tess.elixir-uk.org/materials/pathways-and-network-analysis-with-omics-data-2017-module-4-more-depth-on-network-and-pathway-analysis Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.
Bioinformatics for Cancer Genomics 2017 Module 8-Variants to Networks

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

Bioinformatics for Cancer Genomics 2017 Module 8-Variants to Networks http://tess.elixir-uk.org/materials/bioinformatics-for-cancer-genomics-2017-module-8-variants-to-networks Course covers the bioinformatics tools required to analyze genomic data sets.
High-Throughput Biology 2017 Module 15-More Depth on Network and Pathway Analysis

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 15-More Depth on Network and Pathway Analysis http://tess.elixir-uk.org/materials/high-throughput-biology-2017-module-15-more-depth-on-network-and-pathway-analysis 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 11-Isoform Discovery and Alternative 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 11-Isoform Discovery and Alternative Expression http://tess.elixir-uk.org/materials/high-throughput-biology-2017-module-11-isoform-discovery-and-alternative-expression Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome. Graduate Students Researchers Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
High-Throughput Biology 2017 Module 10-Reference Free Alignment

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 10-Reference Free Alignment http://tess.elixir-uk.org/materials/high-throughput-biology-2017-module-10-reference-free-alignment Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome. Graduate students Researchers Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
High-Throughput Biology 2017 Module 7-Introduction to RNA Sequencing Analysis

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 7-Introduction to RNA Sequencing Analysis http://tess.elixir-uk.org/materials/high-throughput-biology-2017-module-7-introduction-to-rna-sequencing-analysis Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome. Graduate students Researchers Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows