Training materials
Target audience: Students
and Authors: Anne Siegel or Bazante Sanders or Jan Slifka or Martin Čech or Vivek Bhardwaj or Wendi Bacon or bgruening
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hands-on tutorial
Filter, plot and explore single-cell RNA-seq data with Scanpy (Python)
• beginner10x Python Single Cell jupyter-notebook 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
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
Comparing inferred cell compositions using MuSiC deconvolution
• beginnerSingle Cell transcriptomics -
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
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hands-on tutorial
Combining single cell datasets after pre-processing
• beginnerTranscriptomics 10x Single Cell paper-replication -
hands-on tutorial
Inferring single cell trajectories with Scanpy (Python)
• beginnerTranscriptomics 10x Python Single Cell jupyter-notebook paper-replication -
hands-on tutorial
Formation of the Super-Structures on the Inactive X
• beginnerEpigenomics ChIP-seq Epigenetics