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16 materials found

Authors: David Wishart  or Patricia Palagi 


Course design: Considerations for trainers – a Professional Guide

This Professional Guide in the Resources for Training Trainers series introduces a structured approach to course design, highlighting the importance of articulating learning outcomes commensurate with the cognitive complexity of the target learning, prior to devising learning experiences and...

Keywords: Curriculum development, course design, learning outcomes, Bloom's Taxonomy, assessment, course evaluation, training trainers, training material

BLAST and multiple sequence alignment (MSA) programs

Background
The rapid identification of pathogens infecting livestock is essential to appropriately respond to the threat. The number and the variety of pathogen sequenced genomes have been growing more dramatically these recent years, because of the new sequencing technologies. This wealth of...

Keywords: Blast, E learning, Multiple sequence alignment

Resource type: e-learning

Phylogenetics of animal viral pathogens

Background
The vast diversity of the pathogens affecting livestock demands a very specific diagnostic procedure in identification and characterization of each pathogen. In this context, the enormous amount of sequence and genotype data is being generated on animal pathogens, which is further...

Keywords: Animal pathogens, E learning, Phylogenetics

Resource type: e-learning

ELIXIR eLearning definitions

Materials from the asynchronous learning course "ELIXIR eLearning definitions"

Keywords: eLearning, training, EeLP

Resource type: course materials, Training materials, Documentation

ELIXIR EXCELERATE Train the Trainer

This set of course material was designed in the context of the ELIXIR EXCELERATE Train the Trainer programme. It covers four sessions:

  • Learning principles and how they apply to training and teaching
  • Teaching techniques that can be used to enhance learner engagement and participation *...

Keywords: Train the trainer, Pedagogy, Course development, Course design

Resource type: Training 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.

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 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 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 2017 Module 6-Future of Metabolomics

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.

Informatics and Statistics for Metabolomics 2017 Module 5-MetaboAnalyst

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.

Informatics and Statistics for Metabolomics 2017 Module 3-Databases for Chemical, Spectral, and Biological Data

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.

Informatics and Statistics for Metabolomics 2017 Module 2-Metabolite Identification and Annotation

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.

Informatics and Statistics for Metabolomics 2017 Module 1-Introduction to Metabolomics

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.

Bioinformatics for Mass spectrometry analysis

This tutorial on Bioinformatics for Mass spectrometry analysis was part of a full series of tutorials that I have organised in 2009 while sitting in the Educational Committee of the European Proteomics Association (EuPA). Some information on bioinformatics tools would need to be verified, but the...

Keywords: Bioinformatics, Mass spectrometry, Protein identification

Bioinformatics for MS analysis

The purpose of this course is to teach students the fundamental concepts underlying the analysis of proteins using mass spectrometry.

Keywords: Bioinformatics, Identification, Mass spectrometry