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19 materials found

Authors: Jared Simpson  or Gary Bader  or yvanlebras 


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 https://tess.elixir-europe.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 https://tess.elixir-europe.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
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
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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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
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
Variant Analysis - Introduction to Variant analysis

Exome sequencing means that all protein-coding genes in a genome are sequenced

Variant Analysis - Introduction to Variant analysis https://tess.elixir-europe.org/materials/variant-analysis-introduction Exome sequencing means that all protein-coding genes in a genome are sequenced
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 - RAD-Seq to construct genetic maps

Analyses of sequences Questions of the tutorial: - How to analyze RAD sequencing data for a genetic map study? Objectives of the tutorial: - SNP calling from RAD sequencing data - Find and correct haplotypes - Create input files for genetic map building software

Resource type: Tutorial

Sequence analysis - RAD-Seq to construct genetic maps https://tess.elixir-europe.org/materials/analysis-of-sequences-rad-seq-to-construct-genetic-maps Analyses of sequences Questions of the tutorial: - How to analyze RAD sequencing data for a genetic map study? Objectives of the tutorial: - SNP calling from RAD sequencing data - Find and correct haplotypes - Create input files for genetic map building software
Sequence analysis - RAD-Seq de-novo data analysis

Analyses of sequences Questions of the tutorial: - How to analyze RAD sequencing data without a reference genome for a population genomics study? Objectives of the tutorial: - Analysis of RAD sequencing data without a reference genome - SNP calling from RAD sequencing data - Calculate...

Resource type: Tutorial

Sequence analysis - RAD-Seq de-novo data analysis https://tess.elixir-europe.org/materials/analysis-of-sequences-rad-seq-de-novo-data-analysis Analyses of sequences Questions of the tutorial: - How to analyze RAD sequencing data without a reference genome for a population genomics study? Objectives of the tutorial: - Analysis of RAD sequencing data without a reference genome - SNP calling from RAD sequencing data - Calculate population genomics statistics from RAD sequencing data
Sequence analysis - RAD-Seq Reference-based data analysis

Analyses of sequences Questions of the tutorial: - How to analyze RAD sequencing data using a reference genome for a population genomics study? Objectives of the tutorial: - Analysis of RAD sequencing data using a reference genome - SNP calling from RAD sequencing data - Calculate population...

Resource type: Tutorial

Sequence analysis - RAD-Seq Reference-based data analysis https://tess.elixir-europe.org/materials/analysis-of-sequences-rad-seq-reference-based-data-analysis Analyses of sequences Questions of the tutorial: - How to analyze RAD sequencing data using a reference genome for a population genomics study? Objectives of the tutorial: - Analysis of RAD sequencing data using a reference genome - SNP calling from RAD sequencing data - Calculate population genomics statistics from RAD sequencing data