In recent years, research on long non-coding RNAs (lncRNAs) has gained considerable attention due to the increasing number of newly identified transcripts. Several characteristics make their functional evaluation challenging, which called for the urgent need to combine molecular biology with other disciplines, including bioinformatics. Indeed, the recent development of computational pipelines and resources has greatly facilitated both the discovery and the mechanisms of action of lncRNAs. In this review, we present a curated collection of the most recent computational resources, which have been categorized into distinct groups: databases and annotation, identification and classification, interaction prediction, and structure prediction. As the repertoire of lncRNAs and their analysis tools continues to expand over the years, standardizing the computational pipelines and improving the existing annotation of lncRNAs will be crucial to facilitate functional genomics studies.

Ballarino, M., Pepe, G., Helmer Citterich, M., Palma, A. (2023). Exploring the landscape of tools and resources for the analysis of long non-coding RNAs. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 21, 4706-4716 [10.1016/j.csbj.2023.09.041].

Exploring the landscape of tools and resources for the analysis of long non-coding RNAs

Pepe G.;Helmer Citterich M.;
2023-01-01

Abstract

In recent years, research on long non-coding RNAs (lncRNAs) has gained considerable attention due to the increasing number of newly identified transcripts. Several characteristics make their functional evaluation challenging, which called for the urgent need to combine molecular biology with other disciplines, including bioinformatics. Indeed, the recent development of computational pipelines and resources has greatly facilitated both the discovery and the mechanisms of action of lncRNAs. In this review, we present a curated collection of the most recent computational resources, which have been categorized into distinct groups: databases and annotation, identification and classification, interaction prediction, and structure prediction. As the repertoire of lncRNAs and their analysis tools continues to expand over the years, standardizing the computational pipelines and improving the existing annotation of lncRNAs will be crucial to facilitate functional genomics studies.
2023
Pubblicato
Rilevanza internazionale
Review
Esperti anonimi
Settore BIO/11
English
Con Impact Factor ISI
Ballarino, M., Pepe, G., Helmer Citterich, M., Palma, A. (2023). Exploring the landscape of tools and resources for the analysis of long non-coding RNAs. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 21, 4706-4716 [10.1016/j.csbj.2023.09.041].
Ballarino, M; Pepe, G; Helmer Citterich, M; Palma, A
Articolo su rivista
File in questo prodotto:
File Dimensione Formato  
Ballarino_etal2023.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 2.23 MB
Formato Adobe PDF
2.23 MB Adobe PDF Visualizza/Apri

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/2108/344663
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact