Training materials
Difficulty level: Intermediate
and Scientific topics: Data quality management or Data submission, annotation, and curation or Image or Natural language processing or Omics or Variant pattern analysis
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Presentation
FAIRtracks and Omnipy – FAIRtracks interoperability story
•• intermediateData submission, annotation, and curation Data identity and mapping Data quality management Data governance Workflows Data handling -
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