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Material used for a course on transcriptomics, covering transcriptome assembly, transcriptome functional annotation, differential expression analysis, and functional annotation data mining

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Transcriptomics course

I devloped and taught this course at Graz University of Technology in 2018. The course is designed for bio/life science researchers who need to understand how to analyze public or their own RNA-seq data to achieve functional annotation of genes. The focus is on the end-to-end process and flow of data during the process.

Contents

There are 5 lecture slide decks in lectures and 5 lab exercise sets in labs. The topics include:

  • Linux basics
  • De novo transcriptome assembly
  • Transcriptome functional annotation
  • Differential expression analysis
  • Functional annotation data mining

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Material used for a course on transcriptomics, covering transcriptome assembly, transcriptome functional annotation, differential expression analysis, and functional annotation data mining

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