TeSS Training eSupport System

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

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://bioinformaticsdotca.github.io/eda_2018#day2 http://tess.elixir-uk.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. Boris Steipe Lauren Erdman 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://bioinformaticsdotca.github.io/intror_2018 http://tess.elixir-uk.org/materials/introduction-to-r-2018 Course introduces essential ideas and tools of R, and covers statistical tests in R. Boris Steipe Researchers Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate students

Exploratory Analysis of Biological Data using R 2017 Module 5-Hypothesis Testing