Authors: David Wishart or Lars Juhl Jensen
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.
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.
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.
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.
Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.
Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.
Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.
Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.
Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.
Hands-on exercises using a variety of text-mining tools and databases based on text mining, to interpret the results from microbiome studies.
The exercises will teach you how to:
- automatically highlight named entities in a web page
- use named entity recognition for synonym-aware...
Scientific topics: Data mining, Natural language processing, Metagenomics, Microbial ecology
Hands-on exercises using the STRING, STITCH, and DISEASES databases through their respective web interfaces. The exercises will teach you how to:
- retrieve a STRING network for a protein of interest *...
Scientific topics: Protein interactions, Molecular interactions, pathways and networks, Bioinformatics
Hands-on exercises using the stringApp for Cytoscape to retrieve molecular networks from the STRING and STITCH databases.
The exercises will teach you how to:
- retrieve...
Scientific topics: Data visualisation, Proteomics, Protein interactions, Molecular interactions, pathways and networks, Bioinformatics