Training materials
Resource type: hands-on tutorial
and Contributors: Cristóbal Gallardo or Dr. Iain Milne or Dr. Konstantinos Sidiropoulos 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