Register training material
17 materials found

Authors: Jared Simpson  or Boris Steipe 


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
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
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
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
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