Training materials
Keywords: Cloud computing or General Linear Models or Genomics or Query data
and Resource type: Scripts or Training materials
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course materials, Online material, Training materials
Cloud-SPAN Genomics
• beginnerBioinformatics Software engineering Genomics DNA polymorphism Workflows Data architecture, analysis and design Shell Command line Cloud computing HPC Data analysis High performance computing -
course materials, online course, Training materials
Cloud-SPAN Prenomics
• beginnerBioinformatics Software engineering Genomics Query and retrieval Data handling Cloud computing Shell Command line Amazon Web Services genomics HPC Data analysis bioinformatics -
Video, Training materials, E-learning
Training Primer (RDF and SPARQL)
• beginnerComputer science Data management FAIR data Medical informatics Ontology and terminology Query and retrieval Database search Data handling Data retrieval Clinical data SPARQL Query data RDF Knowledge graph Triplestore Ontology -
Video, Training materials, Mock data, E-learning
How to use Python and R with RDF Data
•• intermediateComputer science Data management FAIR data Medical informatics Query and retrieval Data handling Data retrieval Clinical data SPARQL Query data RDF Knowledge graph Python R GraphDB -
Documentation, Exercise, Handout, Scripts
CPANG19 - Computational PANGenomics (2019)
•• intermediateGenomics -
Documentation, Exercise, Handout, Scripts
ADER19F - Analysis of Differential Expression with RNAseq (First course in 2019)
•• intermediateRNA-Seq Genomics RNA -
Documentation, Exercise, Handout, Scripts
ADER18S - Analysis of Differential Expression with RNAseq (Second course in 2018)
•• intermediateRNA-Seq Genomics RNA -
Documentation, Exercise, Handout, Scripts
CPANG18 - Computational PANGenomics (2018)
•• intermediateGenomics -
Documentation, Exercise, Handout, Scripts
ADER18F - Analysis of Differential Expression with RNAseq (First course in 2018)
•• intermediateRNA-Seq Genomics RNA -
Documentation, Exercise, Handout, Scripts
PSLS20 - Practical Statistics for the Life Sciences (2020)
•• intermediateStatistics General Linear Models
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