Training materials
Authors: András Aszódi or Dave Clements or Krzysztof Poterlowicz or Laura Leroi or Marius van den Beek or Rachel Lyne or Wendi Bacon or allegra.via Via
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hands-on tutorial
Filter, plot and explore single-cell RNA-seq data with Scanpy (Python)
• beginner10x Python Single Cell jupyter-notebook paper-replication -
hands-on tutorial
Generating a single cell matrix using Alevin and combining datasets (bash + R)
• beginner10x Single Cell jupyter-notebook paper-replication -
hands-on tutorial
Inferring single cell trajectories with Scanpy
• beginner10x Single Cell paper-replication -
hands-on tutorial
16S Microbial Analysis with mothur (extended)
• beginnerMetagenomics Microbial ecology Taxonomy Sequence analysis 16S Microbiome metabarcoding microgalaxy -
hands-on tutorial
16S Microbial Analysis with mothur (short)
• beginnerMetagenomics Microbial ecology Taxonomy Sequence analysis 16S Microbiome metabarcoding microgalaxy -
slides
EWAS Epigenome-Wide Association Studies Introduction
• beginnerEpigenomics Epigenetics -
slides
Introduction to Galaxy
• beginnerIntroduction to Galaxy Analyses -
hands-on tutorial
FAIRification of an RNAseq dataset
•• intermediateFAIR clinical data -
hands-on tutorial
Data management in Medicinal Chemistry
• beginnerComputational chemistry FAIR Data, Workflows, and Research computational-chemistry data-management fair medicinal-chemistry -
hands-on tutorial
REMBI - Recommended Metadata for Biological Images – metadata guidelines for bioimaging data
• beginnerBioimaging FAIR REMBI