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LABRAT reveals association of alternative polyadenylation with transcript localization, RNA binding protein expression, transcription speed, and cancer survival.

Raeann GoeringKrysta L EngelAustin E GillenNova FongDavid L BentleyJ Matthew Taliaferro
Published in: BMC genomics (2021)
We conclude that LABRAT has the ability to accurately quantify APA isoform ratios from RNAseq data across a variety of sample types. Further, LABRAT is able to derive biologically meaningful insights that connect APA isoform regulation to cellular and molecular phenotypes.
Keyphrases
  • papillary thyroid
  • squamous cell
  • electronic health record
  • big data
  • transcription factor
  • rna seq
  • squamous cell carcinoma
  • single molecule
  • binding protein
  • machine learning
  • childhood cancer