Training materials
Difficulty level: Beginner
and Contributors: Bang Wong or Björn Grüning or Christoph Stritt or Dr. Scooter Morris or Elin Kronander or Jamie Edwards or Laura Leroi or Manimozhiyan Arumugam or Marek Suchanek or Munazah Andrabi or Saskia Hiltemann or Sonika Tyagi
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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 -
hands-on tutorial
Identification of AMR genes in an assembled bacterial genome
• beginnerWhole genome sequencing Public health and epidemiology Genomics Microbiology Sequence analysis Infectious disease Antimicrobial Resistance Genome Annotation amr gmod illumina jbrowse1 microgalaxy one-health -
hands-on tutorial
RNA-seq Alignment with STAR
• beginnerTranscriptomics -
hands-on tutorial
Sequence data submission to ENA
• beginnerENA FAIR FAIR Data, Workflows, and Research -
tutorial
TeSS, how can I help you?
• beginnerFAIR OPEN Bioinformatics Teaching TeSS -
lessons, e-learning
Introduction to Data Management Practices - Data Management Plans
• beginnerData management FAIR data Open science CONVERGE Data Stewardship Wizard Data management plan -
lessons, e-learning
Introduction to Data Management Practices - Versioning of data and code using Git
• beginnerData management FAIR data Software engineering RStudio CONVERGE README -
lessons, e-learning
Introduction to Data Management Practices - Introduction to RStudio
• beginnerData management FAIR data RStudio CONVERGE README -
lessons, e-learning
Introduction to Data Management Practices - Scripted analysis with R
• beginnerData management FAIR data Bioinformatics Data visualisation RStudio CONVERGE ggPlot