Training materials
Scientific topics: Data mining or Transcriptomics
and Authors: Liverpool Computational Biology Facility (CBF) or Nicola Soranzo or Pavankumar Videm or Stefano Mangiola or dario righelli
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slides
Whole transcriptome analysis of Arabidopsis thaliana
• beginnerTranscriptomics -
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 -
drighelli/SpatialExperiment_Bioc2021
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stemangiola/bioc_2020_tidytranscriptomics
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hands-on tutorial
RNA-RNA interactome data analysis
• beginnerTranscriptomics -
hands-on tutorial
Hands-on for 'Analysis of plant scRNA-Seq Data with Scanpy' tutorial
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hands-on tutorial
Single-cell quality control with scater
• beginnerTranscriptomics Single Cell -
hands-on tutorial
Small Non-coding RNA Clustering using BlockClust
• beginnerTranscriptomics -
hands-on tutorial
Hands-on for 'Reference-based RNA-Seq data analysis' tutorial
• beginnertranscriptomics bulk rna-seq collections drosophila QC cyoa