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Exploring the landscape of tools and resources for the analysis of long non-coding RNAs
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 d...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568309/ https://www.ncbi.nlm.nih.gov/pubmed/37841333 http://dx.doi.org/10.1016/j.csbj.2023.09.041 |
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author | Ballarino, Monica Pepe, Gerardo Helmer-Citterich, Manuela Palma, Alessandro |
author_facet | Ballarino, Monica Pepe, Gerardo Helmer-Citterich, Manuela Palma, Alessandro |
author_sort | Ballarino, Monica |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10568309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-105683092023-10-13 Exploring the landscape of tools and resources for the analysis of long non-coding RNAs Ballarino, Monica Pepe, Gerardo Helmer-Citterich, Manuela Palma, Alessandro Comput Struct Biotechnol J Review Article 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. Research Network of Computational and Structural Biotechnology 2023-09-29 /pmc/articles/PMC10568309/ /pubmed/37841333 http://dx.doi.org/10.1016/j.csbj.2023.09.041 Text en © 2023 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Article Ballarino, Monica Pepe, Gerardo Helmer-Citterich, Manuela Palma, Alessandro Exploring the landscape of tools and resources for the analysis of long non-coding RNAs |
title | Exploring the landscape of tools and resources for the analysis of long non-coding RNAs |
title_full | Exploring the landscape of tools and resources for the analysis of long non-coding RNAs |
title_fullStr | Exploring the landscape of tools and resources for the analysis of long non-coding RNAs |
title_full_unstemmed | Exploring the landscape of tools and resources for the analysis of long non-coding RNAs |
title_short | Exploring the landscape of tools and resources for the analysis of long non-coding RNAs |
title_sort | exploring the landscape of tools and resources for the analysis of long non-coding rnas |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568309/ https://www.ncbi.nlm.nih.gov/pubmed/37841333 http://dx.doi.org/10.1016/j.csbj.2023.09.041 |
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