CiLiQuant: Quantification of RNA Junction Reads Based on Their Circular or Linear Transcript Origin

Annelien Morlion; Eva Hulstaert; Jasper Anckaert; Celine Everaert; Jo Vandesompele; Pieter Mestdagh

doi:10.20944/preprints202109.0183.v1

Submitted:

09 September 2021

Posted:

10 September 2021

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Technical Note

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CiLiQuant: Quantification of RNA Junction Reads Based on Their Circular or Linear Transcript Origin

Annelien Morlion^*

,Eva Hulstaert,Jasper Anckaert,Celine Everaert,Jo Vandesompele

,Pieter Mestdagh^*

Annelien Morlion^*

,Eva Hulstaert,Jasper Anckaert,Celine Everaert,Jo Vandesompele

,Pieter Mestdagh^*

A peer-reviewed version of this preprint was published in:

Frontiers in Bioinformatics 2022, 2. https://doi.org/10.3389/fbinf.2022.834034

Submitted:

09 September 2021

Posted:

10 September 2021

You are already at the latest version

Abstract

Distinguishing circular RNA (circRNA) 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 backsplice and forward splice junction reads generated by existing mapping and circRNA discovery tools.

Keywords:

bioinformatics

;

circRNA

Subject:

Biology and Life Sciences - Biochemistry and Molecular Biology

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