Training materials
Scientific topics: Molecular interactions, pathways and networks or Transcriptomics
and Keywords: Data Analysis or Earlham Institute or drosophila or rna-seq or single-cell
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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 -
hands-on tutorial
Hands-on for 'Inferring trajectories using Monocle3' tutorial
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hands-on tutorial
Hands-on for 'Combining datasets after pre-processing' tutorial
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hands-on tutorial
Hands-on for 'Inferring Trajectories using Scanpy (Python)' tutorial
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hands-on tutorial
Hands-on for 'Pre-processing of 10X Single-Cell RNA Datasets' tutorial
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hands-on tutorial
Hands-on for 'Pre-processing of Single-Cell RNA Data' tutorial
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hands-on tutorial
Hands-on for 'Analysis of plant scRNA-Seq Data with Scanpy' tutorial
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hands-on tutorial
Hands-on for 'Clustering 3K PBMCs with Scanpy' tutorial
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hands-on tutorial
Hands-on for 'Single-cell quality control with scater' tutorial
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hands-on tutorial
Hands-on for 'Downstream Single-cell RNA analysis with RaceID' tutorial
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