Training materials
Resource type: hands-on tutorial
and Contributors: Cristóbal Gallardo or Dr. Iain Milne or Dr. Konstantinos Sidiropoulos or Edwin den Haas or Emily Angiolini or Prof. Tom Freeman or Saskia Hiltemann or Susan Coort or Wendi Bacon or Wolmar Nyberg Åkerström
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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
Scanpy Parameter Iterator
• beginnerSingle Cell -
hands-on tutorial
Deploying a Beacon v1 in Galaxy
• beginnerGalaxy Server administration beacon ga4gh git-gat -
hands-on tutorial
Inferring single cell trajectories with Monocle3 (R)
• beginner10x R Single Cell jupyter-notebook paper-replication rmarkdown-notebook -
hands-on tutorial
Removing the effects of the cell cycle
• beginner10x Single Cell -
hands-on tutorial
Hands-on for 'Creating the bulk RNA-seq dataset for deconvolution' tutorial
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hands-on tutorial
Hands-on for 'Creating the single-cell RNA-seq reference dataset for deconvolution' tutorial