Training materials
Scientific topics: Transcriptomics
and Authors: Janick Mathys or Liverpool Computational Biology Facility (CBF) or Martin Morgan or Mehmet Tekman or Simon Gladman
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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 -
mtmorgan/HCABiocTraining
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hands-on tutorial
Bulk RNASeq analysis
•• intermediateTranscriptomics Gene expression Differential gene expression profiling Expression analysis Data analysis NGS RNASeq transcriptomics -
hands-on tutorial
Hands-on for 'Trajectory Analysis using Python (Jupyter Notebook) in Galaxy' 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 'Downstream Single-cell RNA analysis with RaceID' tutorial
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hands-on tutorial
Hands-on for 'Bulk RNA Deconvolution with MuSiC' tutorial
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