Training materials
Difficulty level: Beginner
and Contributors: Emily Angiolini or Helena Rasche or Mihaela Martis or Ms. Sejal Modha or Nicola Mulder or Prof. Jessie Kennedy or Prof. Tom Freeman or Roland Krause or Stéphanie Robin or Tim Beck
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hands-on tutorial
Creating high resolution images of Galaxy Workflows
• beginnerUsing Galaxy and Managing your Data workflows -
hands-on tutorial
Filter, plot, and explore single cell RNA-seq data with Seurat
• beginner10x Single Cell paper-replication -
hands-on tutorial
Inferring single cell trajectories with Scanpy
• beginner10x Single Cell paper-replication -
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
Screening assembled genomes for contamination using NCBI FCS
• beginnerSequence analysis -
hands-on tutorial
CUT&RUN data analysis
• beginnerEpigenomics Epigenetics -
slides
Friends Don't Let Friends Make Bad Graphs
• beginnerVisualisation