Training materials
Difficulty level: Intermediate
and Scientific topics: Data submission, annotation, and curation or Metabolomics or Natural language processing or Omics or Phylogeny
-
Presentation
FAIRtracks and Omnipy – FAIRtracks interoperability story
•• intermediateData submission, annotation, and curation Data identity and mapping Data quality management Data governance Workflows Data handling -
hands-on tutorial
Hands-on for 'Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)' tutorial
•• intermediateMetabolomics metabolomics -
Slides, course materials, hands-on tutorial
Organisation and utilisation of hologenomic datasets – course notes
•• intermediateMetatranscriptomics Sample collections Metabolomics Metagenomics hologenomics metagenomics MGnify Workshop -
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 -
Tutorial
Tutorial on CARNIVAL
•• intermediateMolecular interactions, pathways and networks Gene expression Omics RNA-Seq Network analysis RNA-Seq analysis HPC Signaling RNAseq, transcriptomics -
Bioinformatics Summer School 2019
•• intermediateProteomics RNA-Seq Omics Statistics and probability Data handling -
Text-mining exercises
•• intermediateMicrobial ecology Metagenomics Natural language processing Data mining