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The lncRNA Toolkit: Databases and In Silico Tools for lncRNA Analysis
Long non-coding RNAs (lncRNAs) are a rapidly expanding field of research, with many new transcripts identified each year. However, only a small subset of lncRNAs has been characterized functionally thus far. To aid investigating the mechanisms of action by which new lncRNAs act, bioinformatic tools...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768357/ https://www.ncbi.nlm.nih.gov/pubmed/33339309 http://dx.doi.org/10.3390/ncrna6040049 |
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author | Pinkney, Holly R. Wright, Brandon M. Diermeier, Sarah D. |
author_facet | Pinkney, Holly R. Wright, Brandon M. Diermeier, Sarah D. |
author_sort | Pinkney, Holly R. |
collection | PubMed |
description | Long non-coding RNAs (lncRNAs) are a rapidly expanding field of research, with many new transcripts identified each year. However, only a small subset of lncRNAs has been characterized functionally thus far. To aid investigating the mechanisms of action by which new lncRNAs act, bioinformatic tools and databases are invaluable. Here, we review a selection of computational tools and databases for the in silico analysis of lncRNAs, including tissue-specific expression, protein coding potential, subcellular localization, structural conformation, and interaction partners. The assembled lncRNA toolkit is aimed primarily at experimental researchers as a useful starting point to guide wet-lab experiments, mainly containing multi-functional, user-friendly interfaces. With more and more new lncRNA analysis tools available, it will be essential to provide continuous updates and maintain the availability of key software in the future. |
format | Online Article Text |
id | pubmed-7768357 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77683572020-12-29 The lncRNA Toolkit: Databases and In Silico Tools for lncRNA Analysis Pinkney, Holly R. Wright, Brandon M. Diermeier, Sarah D. Noncoding RNA Review Long non-coding RNAs (lncRNAs) are a rapidly expanding field of research, with many new transcripts identified each year. However, only a small subset of lncRNAs has been characterized functionally thus far. To aid investigating the mechanisms of action by which new lncRNAs act, bioinformatic tools and databases are invaluable. Here, we review a selection of computational tools and databases for the in silico analysis of lncRNAs, including tissue-specific expression, protein coding potential, subcellular localization, structural conformation, and interaction partners. The assembled lncRNA toolkit is aimed primarily at experimental researchers as a useful starting point to guide wet-lab experiments, mainly containing multi-functional, user-friendly interfaces. With more and more new lncRNA analysis tools available, it will be essential to provide continuous updates and maintain the availability of key software in the future. MDPI 2020-12-16 /pmc/articles/PMC7768357/ /pubmed/33339309 http://dx.doi.org/10.3390/ncrna6040049 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Pinkney, Holly R. Wright, Brandon M. Diermeier, Sarah D. The lncRNA Toolkit: Databases and In Silico Tools for lncRNA Analysis |
title | The lncRNA Toolkit: Databases and In Silico Tools for lncRNA Analysis |
title_full | The lncRNA Toolkit: Databases and In Silico Tools for lncRNA Analysis |
title_fullStr | The lncRNA Toolkit: Databases and In Silico Tools for lncRNA Analysis |
title_full_unstemmed | The lncRNA Toolkit: Databases and In Silico Tools for lncRNA Analysis |
title_short | The lncRNA Toolkit: Databases and In Silico Tools for lncRNA Analysis |
title_sort | lncrna toolkit: databases and in silico tools for lncrna analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768357/ https://www.ncbi.nlm.nih.gov/pubmed/33339309 http://dx.doi.org/10.3390/ncrna6040049 |
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