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Bookend: precise transcript reconstruction with end-guided assembly.

Michael A SchonStefan LutzmayerFalko HofmannMichael D Nodine
Published in: Genome biology (2022)
We developed Bookend, a package for transcript assembly that incorporates data from different RNA-seq techniques, with a focus on identifying and utilizing RNA 5' and 3' ends. We demonstrate that correct identification of transcript start and end sites is essential for precise full-length transcript assembly. Utilization of end-labeled reads present in full-length single-cell RNA-seq datasets dramatically improves the precision of transcript assembly in single cells. Finally, we show that hybrid assembly across short-read, long-read, and end-capture RNA-seq datasets from Arabidopsis thaliana, as well as meta-assembly of RNA-seq from single mouse embryonic stem cells, can produce reference-quality end-to-end transcript annotations.
Keyphrases
  • rna seq
  • single cell
  • high throughput
  • arabidopsis thaliana
  • induced apoptosis
  • single molecule
  • electronic health record
  • cell proliferation
  • big data
  • machine learning
  • pet ct
  • data analysis