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20 materials found

Authors: Jared Simpson  or Vincent Carey  or Guillaume Bourque 


eQTL / molecular-QTL analyses

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: eQTL / molecular-QTL

eQTL / molecular-QTL analyses https://tess.elixir-europe.org/materials/eqtl-molecular-qtl-analyses Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. eQTL / molecular-QTL
Genetics of gene expression: computation and integrative prediction

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: eQTL

Genetics of gene expression: computation and integrative prediction https://tess.elixir-europe.org/materials/genetics-of-gene-expression-computation-and-integrative-prediction Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. eQTL
Visualisation in Statistical Genomics

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Visualisation

Visualisation in Statistical Genomics https://tess.elixir-europe.org/materials/visualisation-in-statistical-genomics Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Scalable Integrative Bioinformatics with Bioconductor

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: Scalable Computing

Scalable Integrative Bioinformatics with Bioconductor https://tess.elixir-europe.org/materials/scalable-integrative-bioinformatics-with-bioconductor Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Scalable Computing
eQTL analysis -- an approach with Bioconductor

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: eQTL

eQTL analysis -- an approach with Bioconductor https://tess.elixir-europe.org/materials/eqtl-analysis-an-approach-with-bioconductor Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. eQTL
Lecture: Clustering and classification

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: Statistics and probability

Lecture: Clustering and classification https://tess.elixir-europe.org/materials/lecture-clustering-and-classification Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Statistics and probability
Epigenomic Data Analysis 2018 Module 3-Introduction to WGBS and Analysis

Course providing an introduction to histone ChiP-Seq and WGBS data analysis followed by integrated tutorials demonstrating the use of open source ChiP-Seq and WGBS analysis packages.

Epigenomic Data Analysis 2018 Module 3-Introduction to WGBS and Analysis https://tess.elixir-europe.org/materials/epigenomic-data-analysis-2018-module-3-introduction-to-wgbs-and-analysis Course providing an introduction to histone ChiP-Seq and WGBS data analysis followed by integrated tutorials demonstrating the use of open source ChiP-Seq and WGBS analysis packages. Researchers Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate Students
Bioinformatics of Genomic Medicine 2018 Module 5-Available Epigenetics Data and Resources

Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.

Bioinformatics of Genomic Medicine 2018 Module 5-Available Epigenetics Data and Resources https://tess.elixir-europe.org/materials/bioinformatics-of-genomic-medicine-2018-module-5-available-epigenetics-data-and-resources Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field. 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 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
Epigenomic Data Analysis 2017 Module 3-Introduction to WGBS and Analysis

Course provides an introduction to histone ChIP-seq and WGBS data analysis followed by integrated tutorials demonstrating the use of open source ChIP-Seq nad WGBS analysis packages.

Epigenomic Data Analysis 2017 Module 3-Introduction to WGBS and Analysis https://tess.elixir-europe.org/materials/epigenomic-data-analysis-2017-module-3-introduction-to-wgbs-and-analysis Course provides an introduction to histone ChIP-seq and WGBS data analysis followed by integrated tutorials demonstrating the use of open source ChIP-Seq nad WGBS analysis packages. 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
Bioinformatics of Genomic Medicine 2017 Module 5-Available Epigenetics Data and Resources

Course covers various aspects of genomic medicine, covering and teaching popular tools and methods in the field.

Bioinformatics of Genomic Medicine 2017 Module 5-Available Epigenetics Data and Resources https://tess.elixir-europe.org/materials/bioinformatics-of-genomic-medicine-module-5-available-epigenetics-data-and-resources Course covers various aspects of genomic medicine, covering and teaching popular tools and methods in the field. Graduate Students Researchers Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Bioinformatics of Genomic Medicine 2017 Module 3-Variant Annotation

Course covers various aspects of genomic medicine, covering and teaching popular tools and methods in the field.

Bioinformatics of Genomic Medicine 2017 Module 3-Variant Annotation https://tess.elixir-europe.org/materials/bioinformatics-of-genomic-medicine-module-3-variant-annotation Course covers various aspects of genomic medicine, covering and teaching popular tools and methods in the field. Researchers Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate Students
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