Training materials
Contributors: John Sundh or Beatriz Serrano-Solano or Christophe Antoniewski or Helena Rasche or Nicola Soranzo or Pavankumar Videm or Robert Andrews
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hands-on tutorial
Creating high resolution images of Galaxy Workflows
• beginnerUsing Galaxy and Managing your Data workflows -
hands-on tutorial
Pathway analysis with the MINERVA Platform
•• intermediateTranscriptomics bulk cyoa rna-seq viz -
hands-on tutorial
Filter, plot, and explore single cell RNA-seq data with Seurat
• beginner10x Single Cell 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
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