The Power of Genomics to Understand the COVID-19 Pandemic
On this course, you’ll learn key concepts in viral genomics, how they can be applied to the COVID-19 pandemic, and how they can help us prepare for future pandemics.
Keywords: coronavirus, covid-19, sars-cov-2, mutations, Variant calling, Sequencing, pandemic, surveillance, genomics, public health, Genomic data
Resource type: FREE online course
The Power of Genomics to Understand the COVID-19 Pandemic
https://www.futurelearn.com/courses/genomics-covid-19
http://tess.elixir-uk.org/materials/the-power-of-genomics-to-understand-the-covid-19-pandemic
On this course, you’ll learn key concepts in viral genomics, how they can be applied to the COVID-19 pandemic, and how they can help us prepare for future pandemics.
Our core educator team can be found on our course page.
Our list of contributors can be found on our course page.
coronavirus, covid-19, sars-cov-2, mutations, Variant calling, Sequencing, pandemic, surveillance, genomics, public health, Genomic data
Policy makers
journalists
Graduate students
undergraduate students
researchers
PSLS22 Practical Statistics for the Life Sciences
This intermediate level course is one of our Foundations courses. It covers essential statistical concepts and methods for extracting insights from empirical data in the life sciences. The course positions applied statistics, starting from important aspects of experimental design and data...
PSLS22 Practical Statistics for the Life Sciences
https://gtpb.github.io/PSLS22/
http://tess.elixir-uk.org/materials/psls22-practical-statistics-for-the-life-sciences
This intermediate level course is one of our Foundations courses. It covers essential statistical concepts and methods for extracting insights from empirical data in the life sciences. The course positions applied statistics, starting from important aspects of experimental design and data exploration. We then move into statistical modeling and data analysis. We will focus on the link between linear regression and analysis of variance. Together, these methods contribute to the study of General Linear Models. The course also introduces the basics of non-parametric testing, and addresses categorical data analysis and logistic regression.
Lieven Clement
Milan Malfait
Jeroen Gilis
Graduate students
All postgraduates
Infectious Disease Genomic Epidemiology 2018 Module 7-Data Visualization
Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.
Infectious Disease Genomic Epidemiology 2018 Module 7-Data Visualization
https://bioinformaticsdotca.github.io/epidemiology_2018
http://tess.elixir-uk.org/materials/infectious-disease-genomic-epidemiology-2018-module-7-data-visualization
Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.
Anamaria Crisan
Researchers
Post-Doctoral Fellows
Graduate students
Biologists, Genomicists, Computer Scientists
Infectious Disease Genomic Epidemiology 2018 Module 6-Emerging Pathogen Detection and Identification Using Metagenomics Samples
Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.
Infectious Disease Genomic Epidemiology 2018 Module 6-Emerging Pathogen Detection and Identification Using Metagenomics Samples
https://bioinformaticsdotca.github.io/epidemiology_2018
http://tess.elixir-uk.org/materials/infectious-disease-genomic-epidemiology-2018-module-6-emerging-pathogen-detection-and-identification-using-metagenomics-samples
Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.
Gary Van Domselaar
Researchers
Post-Doctoral Fellows
Graduate students
Biologists, Genomicists, Computer Scientists
Infectious Disease Genomic Epidemiology 2018 Module 5-Phylogeographic Analysis
Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.
Infectious Disease Genomic Epidemiology 2018 Module 5-Phylogeographic Analysis
https://bioinformaticsdotca.github.io/epidemiology_2018
http://tess.elixir-uk.org/materials/infectious-disease-genomic-epidemiology-2018-module-5-phylogeographic-analysis
Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.
Anamaria Crisan
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
Infectious Disease Genomic Epidemiology 2018 Module 4-Antimicrobial Resistance Genes
Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.
Infectious Disease Genomic Epidemiology 2018 Module 4-Antimicrobial Resistance Genes
https://bioinformaticsdotca.github.io/epidemiology_2018
http://tess.elixir-uk.org/materials/infectious-disease-genomic-epidemiology-2018-module-4-antimicrobial-resistance-genes
Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.
Andrew McArthur
Researchers
Post-Doctoral Fellows
Graduate students
Biologists, Genomicists, Computer Scientists
Infectious Disease Genomic Epidemiology 2018 Module 2-Pathogen Genomic Analysis 1
Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.
Infectious Disease Genomic Epidemiology 2018 Module 2-Pathogen Genomic Analysis 1
https://bioinformaticsdotca.github.io/epidemiology_2018
http://tess.elixir-uk.org/materials/infectious-disease-genomic-epidemiology-2018-module-2-pathogen-genomic-analysis-1
Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.
Gary Van Domselaar
Researchers
Post-Doctoral Fellows
Graduate students
Biologists, Genomicists, Computer Scientists
Infectious Disease Genomic Epidemiology 2018 Module 1-Introduction to Public Health Microbiology and Genomic Epidemiology
Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.
Infectious Disease Genomic Epidemiology 2018 Module 1-Introduction to Public Health Microbiology and Genomic Epidemiology
https://bioinformaticsdotca.github.io/epidemiology_2018
http://tess.elixir-uk.org/materials/infectious-disease-genomic-epidemiology-2018-module-1-introduction-to-public-health-microbiology-and-genomic-epidemiology
Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.
Will Hsiao
Researchers
Post-Doctoral Fellows
Graduate students
Biologists, Genomicists, Computer Scientists
Pathways and Network Analysis of -Omics data 2018 Module 6-Regulatory 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 6-Regulatory Network Analysis
https://bioinformaticsdotca.github.io/pathways_2018
http://tess.elixir-uk.org/materials/pathways-and-network-analysis-of-omics-data-2018-module-6-regulatory-network-analysis
Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.
Micheal Hoffman
Researchers
Post-Doctoral Fellows
Graduate students
Biologists, Genomicists, Computer Scientists
Pathways and Network Analysis of -Omics data 2018 Module 5-Gene Function Prediction
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 5-Gene Function Prediction
https://bioinformaticsdotca.github.io/pathways_2018
http://tess.elixir-uk.org/materials/pathways-and-network-analysis-of-omics-data-2018-module-5-gene-function-prediction
Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.
Sara Mostafavi
Researchers
Post-Doctoral Fellows
Graduate students
Biologists, Genomicists, Computer Scientists
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://bioinformaticsdotca.github.io/pathways_2018
http://tess.elixir-uk.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.
Gary Bader
Researchers
Graduate students
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Pathways and Network Analysis of -Omics Data 2018 Module 2-Finding Over-Represented Pathways
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 2-Finding Over-Represented Pathways
https://bioinformaticsdotca.github.io/pathways_2018
http://tess.elixir-uk.org/materials/pathways-and-network-analysis-of-omics-data-2018-module-2-finding-over-represented-pathways
Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.
Veronique Voisin
Researchers
Graduate students
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Epigenomic Data Analysis 2018 Module 2-ChIP-Seq Alignment, Peak Calling, and Visualization
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 2-ChIP-Seq Alignment, Peak Calling, and Visualization
https://bioinformaticsdotca.github.io/epigenomics_2018
http://tess.elixir-uk.org/materials/epigenomic-data-analysis-2018-module-2-chip-seq-alignment-peak-calling-and-visualization
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.
Misha Bilenky
Researchers
Graduate students
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Bioinformatics of Genomic Medicine 2018 Module 7-Identifying Integrative Subtypes and Building Classifiers
Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.
Bioinformatics of Genomic Medicine 2018 Module 7-Identifying Integrative Subtypes and Building Classifiers
https://bioinformaticsdotca.github.io/genmed_2018
http://tess.elixir-uk.org/materials/bioinformatics-of-genomic-medicine-2018-module-7-identifying-integrative-subtypes-and-building-classifiers
Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.
Anna Goldenberg
Researchers
Post-Doctoral Fellows
Graduate students
Biologists, Genomicists, Computer Scientists
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://bioinformaticsdotca.github.io/genmed_2018
http://tess.elixir-uk.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.
Guillaume Bourque
Researchers
Post-Doctoral Fellows
Graduate students
Biologists, Genomicists, Computer Scientists
Bioinformatics of Genomic Medicine 2018 Module 4-Translating Research Workflows into Clinical Tests
Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.
Bioinformatics of Genomic Medicine 2018 Module 4-Translating Research Workflows into Clinical Tests
https://bioinformaticsdotca.github.io/genmed_2018
http://tess.elixir-uk.org/materials/bioinformatic-of-genomic-medicine-2018-module-4-translating-research-workflows-into-clinical-tests
Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.
Natalie Stickle
Researchers
Post-Doctoral Fellows
Graduate students
Biologists, Genomicists, Computer Scientists
Bioinformatics of Genomic Medicine 2018 Module 2-Introduction to Tools, Computing Infrastructure, and Data
Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.
Bioinformatics of Genomic Medicine 2018 Module 2-Introduction to Tools, Computing Infrastructure, and Data
https://bioinformaticsdotca.github.io/genmed_2018
http://tess.elixir-uk.org/materials/bioinformatics-of-genomic-medicine-2018-module-2-introduction-to-tools-computing-infrastructure-and-data
Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.
Mathieu Bourgey
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
Informatics and Statistics for Metabolomics 2018 Module 6-Future of Metabolomics
Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.
Informatics and Statistics for Metabolomics 2018 Module 6-Future of Metabolomics
https://bioinformaticsdotca.github.io/metabolomics_2018
http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2018-module-6-future-of-metabolomics
Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.
David Wishart
Researchers
Post-Doctoral Fellows
Graduate students
Biologists, Genomicists, Computer Scientists
Informatics and Statistics for Metabolomics 2018 Module 2-Metabolite Identification and Annotation
Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.
Informatics and Statistics for Metabolomics 2018 Module 2-Metabolite Identification and Annotation
https://bioinformaticsdotca.github.io/metabolomics_2018
http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2018-module-2-metabolite-identification-and-annotation
Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.
David Wishart
Researchers
Graduate students
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Analysis of Metagenomic Data 2018 Module 5-Pulling Genomes from Metagenomes
Course providing an introduction to metagenomic data analysis followed by hands-on practical tutorials demonstrating the use of metagenome analysis tools.
Analysis of Metagenomic Data 2018 Module 5-Pulling Genomes from Metagenomes
https://bioinformaticsdotca.github.io/metagenomics_2018
http://tess.elixir-uk.org/materials/analysis-of-metagenomic-data-2018-module-5-pulling-genomes-from-metagenomes
Course providing an introduction to metagenomic data analysis followed by hands-on practical tutorials demonstrating the use of metagenome analysis tools.
Laura Hug
Researchers
Post-Doctoral Fellows
Graduate students
Biologists, Genomicists, Computer Scientists
Analysis of Metagenomic Data 2018 Module 4-Metagenomic Taxonomic and Functional Composition
Course providing an introduction to metagenomic data analysis followed by hands-on practical tutorials demonstrating the use of metagenome analysis tools.
Analysis of Metagenomic Data 2018 Module 4-Metagenomic Taxonomic and Functional Composition
https://bioinformaticsdotca.github.io/metagenomics_2018
http://tess.elixir-uk.org/materials/analysis-of-metagenomic-data-2018-module-4-metagenomic-taxonomic-and-functional-composition
Course providing an introduction to metagenomic data analysis followed by hands-on practical tutorials demonstrating the use of metagenome analysis tools.
Gavin Douglas
Researchers
Post-Doctoral Fellows
Graduate students
Biologists, Genomicists, Computer Scientists
Analysis of Metagenomic Data 2018 Module 3-PICRUSt
Course providing an introduction to metagenomic data analysis followed by hands-on practical tutorials demonstrating the use of metagenome analysis tools.
Analysis of Metagenomic Data 2018 Module 3-PICRUSt
https://bioinformaticsdotca.github.io/metagenomics_2018
http://tess.elixir-uk.org/materials/analysis-of-metagenomic-data-2018-module-3-picrust
Course providing an introduction to metagenomic data analysis followed by hands-on practical tutorials demonstrating the use of metagenome analysis tools.
Morgan Langille
Researchers
Post-Doctoral Fellows
Graduate students
Biologists, Genomicists, Computer Scientists
Analysis of Metagenomic Data 2018 Module 2-Marker Gene-Based Analysis
Course providing an introduction to metagenomic data analysis followed by hands-on practical tutorials demonstrating the use of metagenome analysis tools.
Analysis of Metagenomic Data 2018 Module 2-Marker Gene-Based Analysis
https://bioinformaticsdotca.github.io/metagenomics_2018
http://tess.elixir-uk.org/materials/analysis-of-metagenomic-data-2018-module-2-marker-gene-based-analysis
Course providing an introduction to metagenomic data analysis followed by hands-on practical tutorials demonstrating the use of metagenome analysis tools.
Will Hsiao
Researchers
Graduate students
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Informatics for RNA-Seq Analysis 2018 Module 5-Genome Guided and Genome-free Transcriptome Assembly
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 5-Genome Guided and Genome-free Transcriptome Assembly
https://bioinformaticsdotca.github.io/rnaseq_2018
http://tess.elixir-uk.org/materials/informatics-for-rna-seq-analysis-2018-module-5-genome-guided-and-genome-free-transcriptome-assembly
Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.
Brian Haas
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
https://bioinformaticsdotca.github.io/rnaseq_2018
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.
Malachi Griffith
Researchers
Biologists, Genomicists, Computer Scientists
Graduate students
Post-Doctoral Fellows
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://bioinformaticsdotca.github.io/htseq_2018
http://tess.elixir-uk.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.
Jared Simpson
Researchers
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Graduate students
Informatics on High-Throughput Sequencing Data 2018 Module 5-Structural Variant Calling
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 5-Structural Variant Calling
https://bioinformaticsdotca.github.io/htseq_2018
http://tess.elixir-uk.org/materials/informatics-on-high-throughput-sequencing-data-2018-module-5-structural-variant-calling
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.
Mathieu Bourgey
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
Informatics on High-Throughput Sequencing Data 2018 Module 4-Small-Variant Calling and Annotation
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 4-Small-Variant Calling and Annotation
https://bioinformaticsdotca.github.io/htseq_2018
http://tess.elixir-uk.org/materials/informatics-on-high-throughput-sequencing-data-2018-module-4-small-variant-calling-and-annotation
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.
Mathieu Bourgey
Researchers
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Graduate students
Informatics on High-Throughput Sequencing Data 2018 Module 3-Genome Alignment
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 3-Genome Alignment
https://bioinformaticsdotca.github.io/htseq_2018
http://tess.elixir-uk.org/materials/informatics-on-high-throughput-sequencing-data-2018-module-3-genome-alignment
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.
Mathieu Bourgey
Graduate students
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Researchers
Informatics on High-Throughput Sequencing Data 2018 Module 2-Data Visualization
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 2-Data Visualization
https://bioinformaticsdotca.github.io/htseq_2018
http://tess.elixir-uk.org/materials/informatics-on-high-throughput-sequencing-data-2018-module-2-data-visualization
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.
Hamza Farooq
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows