Training materials
Scientific topics: Chemical biology or Functional, regulatory and non-coding RNA or Gene expression and microarray or Proteomics experiment or Transcriptomics
and Authors: Anika Erxleben or Dr Eva Caamano-Gutierrez
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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 'Pre-processing of Single-Cell RNA Data' tutorial
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hands-on tutorial
Hands-on for 'Reference-based RNA-Seq data analysis' tutorial
• beginnertranscriptomics bulk rna-seq collections drosophila QC cyoa -
slides
Introduction to 'Transcriptomics'