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A step-by-step guide to analyzing CAGE data using R/Bioconductor.

Malte ThodbergAlbin Sandelin
Published in: F1000Research (2019)
Cap Analysis of Gene Expression (CAGE) is one of the most popular 5'-end sequencing methods. In a single experiment, CAGE can be used to locate and quantify the expression of both Transcription Start Sites (TSSs) and enhancers. This is workflow is a case study on how to use the CAGEfightR package to orchestrate analysis of CAGE data within the Bioconductor project. This workflow starts from BigWig-files and covers both basic CAGE analyses such as identifying, quantifying and annotating TSSs and enhancers, advanced analysis such as finding interacting TSS-enhancer pairs and enhancer clusters, to differential expression analysis and alternative TSS usage. R-code, discussion and references are intertwined to help provide guidelines for future CAGE studies of the same kind.
Keyphrases
  • gene expression
  • electronic health record
  • transcription factor
  • binding protein
  • big data
  • dna methylation
  • quality improvement
  • single cell
  • machine learning
  • case control