Training materials
Difficulty level: Intermediate
and Keywords: Reproducible Science or metabolomics or one-health
-
hands-on tutorial
Hands-on for 'Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)' tutorial
•• intermediateMetabolomics metabolomics -
hands-on tutorial
Hands-on for 'Mutation calling, viral genome reconstruction and lineage/clade assignment from SARS-CoV-2 sequencing data' tutorial
•• intermediateGenetic variation variant-analysis covid19 virology one-health -
hands-on tutorial
Hands-on for 'M. tuberculosis Variant Analysis' tutorial
•• intermediateGenetic variation variant-analysis prokaryote one-health -
hands-on tutorial
Hands-on for 'Identifying tuberculosis transmission links: from SNPs to transmission clusters' tutorial
•• intermediateEvolutionary biology evolution prokaryote one-health -
hands-on tutorial
Hands-on for 'Mass spectrometry: LC-MS preprocessing with XCMS' tutorial
•• intermediateMetabolomics metabolomics -
hands-on tutorial
Hands-on for 'Mass spectrometry imaging: Finding differential analytes' tutorial
•• intermediateMetabolomics metabolomics -
hands-on tutorial
Hands-on for 'Virtual screening of the SARS-CoV-2 main protease with rxDock and pose scoring' tutorial
•• intermediateComputational chemistry computational-chemistry covid19 one-health -
IFB Shiny training
•• intermediateR-programming Reproducible Science -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing