To compare the secondary structure profiles of RNA molecules we developed the CROSSalign method. CROSSalign is based on the combination of the Computational Recognition Of Secondary Structure (CROSS) algorithm to predict the RNA secondary structure profile at single-nucleotide resolution and the Dynamic Time Warping (DTW) method to align profiles of different lengths. We applied CROSSalign to investigate the structural conservation of long non-coding RNAs such as XIST and HOTAIR as well as ssRNA viruses including HIV. CROSSalign performs pair-wise comparisons and is able to find homologs between thousands of matches identifying the exact regions of similarity between profiles of different lengths. In a pool of sequences with the same secondary structure CROSSalign accurately recognizes repeat A of XIST and domain D2 of HOTAIR and outperforms other methods based on covariance modeling. The algorithm is freely available at the webpage http://service.tartaglialab.com//new_submission/crossalign.

A method for RNA structure prediction shows evidence for structure in lncRNAs / Ponti, Riccardo Delli; Armaos, Alexandros; Marti, Stefanie; Tartaglia, Gian Gaetano. - In: FRONTIERS IN MOLECULAR BIOSCIENCES. - ISSN 2296-889X. - 5:DEC(2018), pp. 1-14. [10.3389/fmolb.2018.00111]

A method for RNA structure prediction shows evidence for structure in lncRNAs

Tartaglia, Gian Gaetano
2018

Abstract

To compare the secondary structure profiles of RNA molecules we developed the CROSSalign method. CROSSalign is based on the combination of the Computational Recognition Of Secondary Structure (CROSS) algorithm to predict the RNA secondary structure profile at single-nucleotide resolution and the Dynamic Time Warping (DTW) method to align profiles of different lengths. We applied CROSSalign to investigate the structural conservation of long non-coding RNAs such as XIST and HOTAIR as well as ssRNA viruses including HIV. CROSSalign performs pair-wise comparisons and is able to find homologs between thousands of matches identifying the exact regions of similarity between profiles of different lengths. In a pool of sequences with the same secondary structure CROSSalign accurately recognizes repeat A of XIST and domain D2 of HOTAIR and outperforms other methods based on covariance modeling. The algorithm is freely available at the webpage http://service.tartaglialab.com//new_submission/crossalign.
2018
Non-coding RNA; Pair-wise comparisons; RNA evolution; Secondary structure; Sequence-based predictions; Structural alignments; Biochemistry; Molecular Biology; Biochemistry, Genetics and Molecular Biology (miscellaneous)
01 Pubblicazione su rivista::01a Articolo in rivista
A method for RNA structure prediction shows evidence for structure in lncRNAs / Ponti, Riccardo Delli; Armaos, Alexandros; Marti, Stefanie; Tartaglia, Gian Gaetano. - In: FRONTIERS IN MOLECULAR BIOSCIENCES. - ISSN 2296-889X. - 5:DEC(2018), pp. 1-14. [10.3389/fmolb.2018.00111]
File allegati a questo prodotto
File Dimensione Formato  
DelliPonti_Method_2018.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 3.29 MB
Formato Adobe PDF
3.29 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1254409
Citazioni
  • ???jsp.display-item.citation.pmc??? 6
  • Scopus 14
  • ???jsp.display-item.citation.isi??? 14
social impact