Training materials
Scientific topics: Biology or CWL or Computational chemistry or Toxicology or Transcriptomics
and Authors: @IFB-ElixirFr or Anne Siegel or Mehmet Tekman or University of Liverpool
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Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning -
thomasdenecker/FAIR_Bioinfo
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hands-on tutorial
Inferring single cell trajectories with Scanpy (Python)
• beginnerTranscriptomics 10x Python Single Cell jupyter-notebook paper-replication -
hands-on tutorial
Hands-on for 'Trajectory Analysis using Python (Jupyter Notebook) in Galaxy' tutorial
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hands-on tutorial
RNA-Seq analysis with AskOmics Interactive Tool
• beginnerTranscriptomics -
hands-on tutorial
Pre-processing of 10X Single-Cell RNA Datasets
• beginnerTranscriptomics 10x Single Cell -
hands-on tutorial
Pre-processing of Single-Cell RNA Data
• beginnerTranscriptomics Single Cell -
hands-on tutorial
Clustering 3K PBMCs with Scanpy
• beginnerTranscriptomics 10x Single Cell -
hands-on tutorial
Analysis of plant scRNA-Seq Data with Scanpy
• beginnerTranscriptomics Single Cell paper-replication plants -
hands-on tutorial
Downstream Single-cell RNA analysis with RaceID
• beginnerTranscriptomics Single Cell
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