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CiLiQuant: Quantification of RNA Junction Reads Based on Their Circular or Linear Transcript Origin.
Morlion, Annelien; Hulstaert, Eva; Vromman, Marieke; Anckaert, Jasper; Everaert, Celine; Vandesompele, Jo; Mestdagh, Pieter.
Afiliación
  • Morlion A; Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
  • Hulstaert E; OncoRNALab, Cancer Research Institute Ghent (CRIG), Ghent, Belgium.
  • Vromman M; Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
  • Anckaert J; OncoRNALab, Cancer Research Institute Ghent (CRIG), Ghent, Belgium.
  • Everaert C; Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
  • Vandesompele J; OncoRNALab, Cancer Research Institute Ghent (CRIG), Ghent, Belgium.
  • Mestdagh P; Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
Front Bioinform ; 2: 834034, 2022.
Article en En | MEDLINE | ID: mdl-36304262
Distinguishing circular RNA reads from reads derived from the linear host transcript is a challenging task because of sequence overlap. We developed a computational approach, CiLiQuant, that determines the relative circular and linear abundance of transcripts and gene loci using back-splice and unambiguous forward-splice junction reads generated by existing mapping and circular RNA discovery tools.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Front Bioinform Año: 2022 Tipo del documento: Article País de afiliación: Bélgica

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Front Bioinform Año: 2022 Tipo del documento: Article País de afiliación: Bélgica