TeSS Training eSupport System

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 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

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 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

Informatics and Statistics for Metabolomics 2018 Module 1-Introduction to 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 1-Introduction to Metabolomics https://bioinformaticsdotca.github.io/metabolomics_2018 http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2018-module-1-introduction-to-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 Graduate Students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists

Informatics and Statistics for Metabolomics 2017 Module 6-Future of Metabolomics