Training materials
Difficulty level: Intermediate
and Resource type: hands-on tutorial
and Contributors: Daniel Blankenberg or Daniel Faria or Daniela Brites or David Bouyssié or Helena Rasche
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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
Hands-on for 'Refining Genome Annotations with Apollo (prokaryotes)' tutorial
•• intermediategenome-annotation prokaryote -
hands-on tutorial
Hands-on for 'Identifying tuberculosis transmission links: from SNPs to transmission clusters' tutorial
•• intermediateevolution prokaryote one-health -
hands-on tutorial
Peptide Library Data Analysis
•• intermediateProteomics -
hands-on tutorial
Hands-on for 'Machine Learning Modeling of Anticancer Peptides' tutorial
•• intermediateproteomics ML cancer -
hands-on tutorial
Hands-on for 'Python - Subprocess' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'CLI Educational Game - Bashcrawl' tutorial
•• intermediatedata-science game bash jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Globbing' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'SQL with R' tutorial
•• intermediatedata-science SQL R jupyter-notebook rmarkdown-notebook
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