Training materials
Difficulty level: Advanced or Intermediate
and Contributors: John Sundh or Dr. Colin Combe or Enis Afgan or Florian Christoph Sigloch or Helena Rasche or Jayadev Joshi
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hands-on tutorial
Pathway analysis with the MINERVA Platform
•• intermediateTranscriptomics bulk cyoa rna-seq viz -
hands-on tutorial
FAIR data management solutions
•• intermediateFAIR Data management -
hands-on tutorial
Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)
•• intermediateMetabolomics -
hands-on tutorial
Python - Coding Style
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Refining Genome Annotations with Apollo (prokaryotes)
•• intermediateGenomics Microbiology Gene and protein families Sequence analysis Genome Annotation apollo2 gmod jbrowse1 microgalaxy prokaryote -
hands-on tutorial
Secretome Prediction
•• intermediateProteomics human work-in-progress -
hands-on tutorial
Peptide Library Data Analysis
•• intermediateProteomics -
hands-on tutorial
Peptide and Protein Quantification via Stable Isotope Labelling (SIL)
••• advancedProteomics DDA SILAC -
hands-on tutorial
Machine Learning Modeling of Anticancer Peptides
•• intermediateProteomics ML cancer -
hands-on tutorial
Detection and quantitation of N-termini (degradomics) via N-TAILS
•• intermediateProteomics