Training materials
Keywords: Assembly or jupyter-notebook or metadata
and Contributors: Anatole Chessel or Bérénice Batut or Erasmus+ Programme or Helena Rasche or Paulette Lieby or Stephan Nylinder
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hands-on tutorial
Filter, plot, and explore single cell RNA-seq data with Seurat (R)
• beginner10x R Single Cell jupyter-notebook paper-replication rmarkdown-notebook -
hands-on tutorial
Data visualisation Olympics - Visualization in R
• beginnerSoftware engineering Foundations of Data Science R cyoa jupyter-notebook rmarkdown-notebook -
lessons, e-learning
Introduction to Data Management Practices - Metadata
• beginnerData management FAIR data data organisation FAIR CONVERGE ontologies metadata Controlled vocabularies -
hands-on tutorial
RO-Crate in Python
• beginnerFAIR Data, Workflows, and Research jupyter-notebook ro-crate -
hands-on tutorial
Inferring single cell trajectories with Monocle3 (R)
• beginner10x R Single Cell jupyter-notebook paper-replication rmarkdown-notebook -
hands-on tutorial
Python - Coding Style
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Inferring single cell trajectories with Scanpy (Python)
• beginnerTranscriptomics 10x Python Single Cell jupyter-notebook paper-replication -
hands-on tutorial
Scripting Galaxy using the API and BioBlend
• beginnerSoftware engineering Development in Galaxy jupyter-notebook -
hands-on tutorial
Genome Assembly of MRSA from Oxford Nanopore MinION data (and optionally Illumina data)
• beginnerSequence assembly Whole genome sequencing Public health and epidemiology Genomics Microbiology Antimicrobial Resistance Assembly amr assembly gmod jbrowse1 microgalaxy nanopore -
hands-on tutorial
Genome assembly using PacBio data
•• intermediateSequence assembly Assembly assembly pacbio