Long non-coding RNAs (lncRNAs) represent a novel class of non-coding RNAs having a crucial role in many biological processes. The identification of long non-coding homologs among different species is essential to investigate such roles in model organisms as homologous genes tend to retain similar molecular and biological functions. Alignment-based metrics are able to effectively capture the conservation of transcribed coding sequences and then the homology of protein coding genes. However, unlike protein coding genes the poor sequence conservation of long non-coding genes makes the identification of their homologs a challenging task.

Detection of long non-coding RNA homology, a comparative study on alignment and alignment-free metrics / Noviello, Teresa M R; Di Liddo, Antonella; Ventola, Giovanna M; Spagnuolo, Antonietta; D'Aniello, Salvatore; Ceccarelli, Michele; Cerulo, Luigi. - In: BMC BIOINFORMATICS. - ISSN 1471-2105. - 19:1(2018), p. 407. [10.1186/s12859-018-2441-6]

Detection of long non-coding RNA homology, a comparative study on alignment and alignment-free metrics

Ceccarelli, Michele;Cerulo, Luigi
2018

Abstract

Long non-coding RNAs (lncRNAs) represent a novel class of non-coding RNAs having a crucial role in many biological processes. The identification of long non-coding homologs among different species is essential to investigate such roles in model organisms as homologous genes tend to retain similar molecular and biological functions. Alignment-based metrics are able to effectively capture the conservation of transcribed coding sequences and then the homology of protein coding genes. However, unlike protein coding genes the poor sequence conservation of long non-coding genes makes the identification of their homologs a challenging task.
2018
Detection of long non-coding RNA homology, a comparative study on alignment and alignment-free metrics / Noviello, Teresa M R; Di Liddo, Antonella; Ventola, Giovanna M; Spagnuolo, Antonietta; D'Aniello, Salvatore; Ceccarelli, Michele; Cerulo, Luigi. - In: BMC BIOINFORMATICS. - ISSN 1471-2105. - 19:1(2018), p. 407. [10.1186/s12859-018-2441-6]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/844548
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