Initiation to R programming and descriptive statistics
On-line course support for the initiation to R programming and descriptive statistics given to PhD students at Institut Pasteur (Paris, France).
Keywords: R-programming, Descriptive statistics, Statistics, Bioinformatics
Initiation to R programming and descriptive statistics
https://hub-courses.pages.pasteur.fr/R_pasteur_phd/index.html
http://tess.elixir-uk.org/materials/initiation-to-r-programming-and-descriptive-statistics
On-line course support for the initiation to R programming and descriptive statistics given to PhD students at Institut Pasteur (Paris, France).
Institut Pasteur, Bioinformatics and Biostatistics Hub
Blaise Li
Étienne Kornobis
Sébastien Mella
Vincent Guillemot
R-programming, Descriptive statistics, Statistics, Bioinformatics
PhD students
Post-Doctoral Fellows
Biologists
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 3-Pathogen Genomic Analysis 2
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 3-Pathogen Genomic Analysis 2
https://bioinformaticsdotca.github.io/epidemiology_2018
http://tess.elixir-uk.org/materials/infectious-disease-genomic-epidemiology-2018-module-3-pathogen-genomic-analysis-2
Course providing an introduction to genomic epidemiology analysis followed by hands-on practical tutorials demonstrating the use of selected analysis tools.
Dillon Baker
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 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://bioinformaticsdotca.github.io/pathways_2018
http://tess.elixir-uk.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.
Lincoln Stein
Robin Haw
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
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://bioinformaticsdotca.github.io/pathways_2018
http://tess.elixir-uk.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.
Gary Bader
Researchers
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Graduate Students
Epigenomic Data Analysis 2018 Module 4-Downstream Analyses and Integrative Tools
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 4-Downstream Analyses and Integrative Tools
https://bioinformaticsdotca.github.io/epigenomics_2018
http://tess.elixir-uk.org/materials/epigenomic-data-analysis-2018-module-4-downstream-analyses-and-integrative-tools
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.
David Bujold
Researchers
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Graduate Students
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://bioinformaticsdotca.github.io/epigenomics_2018
http://tess.elixir-uk.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.
Guillaume Bourque
Researchers
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Graduate Students
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
Epigenomic Data Analysis 2018 Module 1-Introduction to ChIP Sequencing 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 1-Introduction to ChIP Sequencing and Analysis
https://bioinformaticsdotca.github.io/epigenomics_2018
http://tess.elixir-uk.org/materials/epigenomic-data-analysis-2018-module-1-introduction-to-chip-sequencing-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.
Martin Hirst
Researchers
Post-Doctoral Fellows
Graduate Students
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 6-Epigenetic Profiling in Disease
Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.
Bioinformatics of Genomic Medicine 2018 Module 6-Epigenetic Profiling in Disease
https://bioinformaticsdotca.github.io/genmed_2018
http://tess.elixir-uk.org/materials/bioinformatics-of-genomic-medicine-2018-module-6-epigenetic-profiling-in-disease
Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.
Andrei Turinsky
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 3-Variant Annotation
Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.
Bioinformatics of Genomic Medicine 2018 Module 3-Variant Annotation
https://bioinformaticsdotca.github.io/genmed_2018
http://tess.elixir-uk.org/materials/bioinformatics-of-genomic-medicine-2018-module-3-variant-annotation
Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.
Sergey Naumenko
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
Bioinformatics of Genomic Medicine 2018 Module 1-Introduction to Genetic Disorders
Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.
Bioinformatics of Genomic Medicine 2018 Module 1-Introduction to Genetic Disorders
https://bioinformaticsdotca.github.io/genmed_2018
http://tess.elixir-uk.org/materials/bioinformatics-of-genomic-medicine-2018-module-1-introduction-to-genetic-disorders
Course will explore various aspects of genomic medicine, covering and teaching popular tools and methods in the field.
Micheal Brudno
Researchers
Post-Doctoral Fellows
Graduate Students
Biologists, Genomicists, Computer Scientists
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 5-MetaboAnalyst
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 5-MetaboAnalyst
https://bioinformaticsdotca.github.io/metabolomics_2018
http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2018-module-5-metaboanalyst
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.
Jeff Xia
Researchers
Post-Doctoral Fellows
Graduate Students
Biologists, Genomicists, Computer Scientists
Informatics and Statistics for Metabolomics Module 4-Backgrounder in Statistics
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 Module 4-Backgrounder in Statistics
https://bioinformaticsdotca.github.io/metabolomics_2018
http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-module-4-backgrounder-in-statistics
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.
Jeff Xia
Researchers
Post-Doctoral Fellows
Graduate Students
Biologists, Genomicists, Computer Scientists
Informatics and Statistics for Metabolomics 2018 Module 3-Databases for Chemical, Spectral, and Biological Data
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 3-Databases for Chemical, Spectral, and Biological Data
https://bioinformaticsdotca.github.io/metabolomics_2018
http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2018-module-3-databases-for-chemical-spectral-and-biological-data
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