Training materials
Resource type: hands-on tutorial
and Authors: Andrew Mason or Biocore@CRG or Friederike Ehrhart or Maria Levchenko or Paul Yorke or Pratik Jagtap or Wendi Bacon
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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
Metatranscriptomics analysis using microbiome RNA-seq data
• beginnerMetagenomics Microbial ecology Metatranscriptomics Taxonomy Function analysis Sequence analysis Microbiome metatranscriptomics microgalaxy -
hands-on tutorial
Metatranscriptomics analysis using microbiome RNA-seq data (short)
• beginnerMetagenomics Microbial ecology Metatranscriptomics Taxonomy Function analysis Sequence analysis Microbiome metatranscriptomics microgalaxy -
hands-on tutorial
FAIRification of an RNAseq dataset
•• intermediateFAIR clinical data -
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