Training materials
Scientific topics: Data submission, annotation, and curation or Gene expression and microarray or Genotype and phenotype or Transcriptomics
and Keywords: Computational Biology or Reproducibility or paper-replication
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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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galaxyproject/training-material
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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 'Analysis of plant scRNA-Seq Data with Scanpy' tutorial
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hands-on tutorial
Hands-on for 'Generating a single cell matrix using Alevin' tutorial
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hands-on tutorial
Hands-on for 'Filter, Plot and Explore Single-cell RNA-seq Data' tutorial