Register training material
26 materials found

Authors: Jared Simpson  or Jenny Drnevich @jenny  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 https://tess.elixir-europe.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 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 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 https://tess.elixir-europe.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
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 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 https://tess.elixir-europe.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 https://tess.elixir-europe.org/materials/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 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 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 https://tess.elixir-europe.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 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
Introduction to R and Bioconductor lecture

This reference handout goes over how to read and parse a line of complex R code.

Keywords: R-programming

Introduction to R and Bioconductor lecture https://tess.elixir-europe.org/materials/introduction-to-r-and-bioconductor-lecture-990e00de-2241-49f5-9577-5c110cc06a64 This reference handout goes over how to read and parse a line of complex R code. R-programming
Guide to R swirl interactive lessons

This handout describes how to download the swirl package and start the basic interactive lessons to learn R.

Keywords: R-programming

Guide to R swirl interactive lessons https://tess.elixir-europe.org/materials/guide-to-r-swirl-interactive-lessons This handout describes how to download the swirl package and start the basic interactive lessons to learn R. R-programming
Day 4 - RNA-Seq Analysis

Day 4 focuses on the final steps after production of significant gene lists, including gene clustering, visualization, and annotation.

Keywords: Exploratory-analysis, Differential-expression, Statistical-model, Annotation

Day 4 - RNA-Seq Analysis https://tess.elixir-europe.org/materials/day-4-rna-seq-analysis Day 4 focuses on the final steps after production of significant gene lists, including gene clustering, visualization, and annotation. Exploratory-analysis, Differential-expression, Statistical-model, Annotation
Introduction to R practice codes

These codes give an overview of R object types and programming language structure.

Keywords: R-programming

Introduction to R practice codes https://tess.elixir-europe.org/materials/introduction-to-r-practice-codes These codes give an overview of R object types and programming language structure. R-programming
R/Bioconductor installation and upgrade guide

This handout describes how to download R and install add-on packages, both from CRAN and

Keywords: R-programming

R/Bioconductor installation and upgrade guide https://tess.elixir-europe.org/materials/r-bioconductor-installation-and-upgrade-guide This handout describes how to download R and install add-on packages, both from CRAN and R-programming
Day 3 - RNA-Seq Analysis

Day 3 focuses on statistical analysis of RNA-Seq data and identification of differentiall expressed genes in multiple comparisons.

Keywords: QC, Exploratory-analysis, Differential-expression, Statistical-model, Pre-processing

Day 3 - RNA-Seq Analysis https://tess.elixir-europe.org/materials/day-3-rna-seq-analysis Day 3 focuses on statistical analysis of RNA-Seq data and identification of differentiall expressed genes in multiple comparisons. QC, Exploratory-analysis, Differential-expression, Statistical-model, Pre-processing
Intro to R and Bioconductor

R is a free, open-source software environment and programming language for statistical computing and graphics. It is available for all computer platforms and is widely used, and many packages have been developed in the Bioconductor project for analysis of genomic data. This module covers the...

Keywords: Prerequisite, R-programming

Intro to R and Bioconductor https://tess.elixir-europe.org/materials/intro-to-r-and-bioconductor R is a free, open-source software environment and programming language for statistical computing and graphics. It is available for all computer platforms and is widely used, and many packages have been developed in the Bioconductor project for analysis of genomic data. This module covers the basic skills that will be needed before using R to analyze NGS data. Prerequisite, R-programming
RNA-Seq Analysis with Biocluster and R

Sequencing of RNA (RNA-Seq) is the latest method to assess global gene expression because it

Scientific topics: RNA-Seq

Keywords: RNA-Seq, Alignment, Annotation, BAM, Differential-expression, Exploratory-analysis, Expression-estimation, FASTA, FASTQ, Feature-summarisation, Pre-processing, QC, Statistical-model

RNA-Seq Analysis with Biocluster and R https://tess.elixir-europe.org/materials/rna-seq-analysis-with-biocluster-and-r Sequencing of RNA (RNA-Seq) is the latest method to assess global gene expression because it RNA-Seq RNA-Seq, Alignment, Annotation, BAM, Differential-expression, Exploratory-analysis, Expression-estimation, FASTA, FASTQ, Feature-summarisation, Pre-processing, QC, Statistical-model
Introduction to R and Bioconductor lecture

This lecture gives an overview of the R and Bioconductor projects, plus the basics of R object types and programming language structure.

Keywords: R-programming

Introduction to R and Bioconductor lecture https://tess.elixir-europe.org/materials/introduction-to-r-and-bioconductor-lecture This lecture gives an overview of the R and Bioconductor projects, plus the basics of R object types and programming language structure. R-programming
Day 1 - RNA-Seq Analysis

Day 1 starts at the very beginning of a typical RNA-Seq workflow, explaining the sequencing technology and considerations for experimental design, then starts with hands-on application of working with sequencing data fresh off the sequencer.

Keywords: Alignment, BAM, FASTA, FASTQ, QC

Day 1 - RNA-Seq Analysis https://tess.elixir-europe.org/materials/day-1-rna-seq-analysis Day 1 starts at the very beginning of a typical RNA-Seq workflow, explaining the sequencing technology and considerations for experimental design, then starts with hands-on application of working with sequencing data fresh off the sequencer. Alignment, BAM, FASTA, FASTQ, QC
Data objects for R practice codes

This RData file contains small R objects to use in the [introR.R practice questions](introR.R)

Keywords: R-programming

Data objects for R practice codes https://tess.elixir-europe.org/materials/data-objects-for-r-practice-codes This RData file contains small R objects to use in the [introR.R practice questions](introR.R) R-programming
Day 2 - RNA-Seq Analysis

Day 2 continues throught the steps in a typical RNA-Seq experiment from alignment to sample QC and count normalization, including a brief overview of the IGV Genome Browser.

Keywords: Alignment, BAM, FASTA, FASTQ, QC, Exploratory-analysis, Feature-summarisation, Pre-processing

Day 2 - RNA-Seq Analysis https://tess.elixir-europe.org/materials/day-2-rna-seq-analysis Day 2 continues throught the steps in a typical RNA-Seq experiment from alignment to sample QC and count normalization, including a brief overview of the IGV Genome Browser. Alignment, BAM, FASTA, FASTQ, QC, Exploratory-analysis, Feature-summarisation, Pre-processing