Training materials
Difficulty level: Beginner
and Authors: @posit-pbc or Elisabeth Gasteiger or Mathieu Bourgey or Nadia Tonello or Sergio Martínez Cuesta or Wendi Bacon
-
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 -
Enzymes: Extracting Biological Insight Using UniProt
• beginner -
Protein Sequence Databases and Sequence Annotation at UniProtKB
• beginneralan bridge group database curation ontology proteins and proteomes training -
Mining enzyme data in UniProtKB using Rhea
• beginnerbiochemistry data mining lipids ontology proteins and proteomes training alan bridge group -
hands-on tutorial
Comparing inferred cell compositions using MuSiC deconvolution
• beginnerSingle Cell transcriptomics -
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
Pre-processing of 10X Single-Cell RNA Datasets
• beginnerTranscriptomics 10x Single Cell