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Comprehensive genome-wide identification of angiosperm upstream ORFs with peptide sequences conserved in various taxonomic ranges using a novel pipeline, ESUCA.

Hiro TakahashiNoriya HayashiYuta HiragoriShun SasakiTaichiro MotomuraYui YamashitaSatoshi NaitoAnna TakahashiKazuyuki FuseKenji SatouToshinori EndoShoko KojimaHitoshi Onouchi
Published in: BMC genomics (2020)
This study demonstrates that ESUCA is capable of efficiently identifying CPuORFs likely to be conserved because of the functional importance of their encoded peptides. Furthermore, our data show that the approach in which uORF sequences from multiple species are compared with those of many other species, using ESUCA, is highly effective in comprehensively identifying CPuORFs conserved in various taxonomic ranges.
Keyphrases
  • transcription factor
  • genome wide identification
  • genetic diversity
  • electronic health record
  • big data
  • machine learning