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IPANEMAP: integrative probing analysis of nucleic acids empowered by multiple accessibility profiles
The manual production of reliable RNA structure models from chemical probing experiments benefits from the integration of information derived from multiple protocols and reagents. However, the interpretation of multiple probing profiles remains a complex task, hindering the quality and reproducibili...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470984/ https://www.ncbi.nlm.nih.gov/pubmed/32735675 http://dx.doi.org/10.1093/nar/gkaa607 |
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author | Saaidi, Afaf Allouche, Delphine Regnier, Mireille Sargueil, Bruno Ponty, Yann |
author_facet | Saaidi, Afaf Allouche, Delphine Regnier, Mireille Sargueil, Bruno Ponty, Yann |
author_sort | Saaidi, Afaf |
collection | PubMed |
description | The manual production of reliable RNA structure models from chemical probing experiments benefits from the integration of information derived from multiple protocols and reagents. However, the interpretation of multiple probing profiles remains a complex task, hindering the quality and reproducibility of modeling efforts. We introduce IPANEMAP, the first automated method for the modeling of RNA structure from multiple probing reactivity profiles. Input profiles can result from experiments based on diverse protocols, reagents, or collection of variants, and are jointly analyzed to predict the dominant conformations of an RNA. IPANEMAP combines sampling, clustering and multi-optimization, to produce secondary structure models that are both stable and well-supported by experimental evidences. The analysis of multiple reactivity profiles, both publicly available and produced in our study, demonstrates the good performances of IPANEMAP, even in a mono probing setting. It confirms the potential of integrating multiple sources of probing data, informing the design of informative probing assays. |
format | Online Article Text |
id | pubmed-7470984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74709842020-09-09 IPANEMAP: integrative probing analysis of nucleic acids empowered by multiple accessibility profiles Saaidi, Afaf Allouche, Delphine Regnier, Mireille Sargueil, Bruno Ponty, Yann Nucleic Acids Res Computational Biology The manual production of reliable RNA structure models from chemical probing experiments benefits from the integration of information derived from multiple protocols and reagents. However, the interpretation of multiple probing profiles remains a complex task, hindering the quality and reproducibility of modeling efforts. We introduce IPANEMAP, the first automated method for the modeling of RNA structure from multiple probing reactivity profiles. Input profiles can result from experiments based on diverse protocols, reagents, or collection of variants, and are jointly analyzed to predict the dominant conformations of an RNA. IPANEMAP combines sampling, clustering and multi-optimization, to produce secondary structure models that are both stable and well-supported by experimental evidences. The analysis of multiple reactivity profiles, both publicly available and produced in our study, demonstrates the good performances of IPANEMAP, even in a mono probing setting. It confirms the potential of integrating multiple sources of probing data, informing the design of informative probing assays. Oxford University Press 2020-09-04 2020-07-31 /pmc/articles/PMC7470984/ /pubmed/32735675 http://dx.doi.org/10.1093/nar/gkaa607 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Computational Biology Saaidi, Afaf Allouche, Delphine Regnier, Mireille Sargueil, Bruno Ponty, Yann IPANEMAP: integrative probing analysis of nucleic acids empowered by multiple accessibility profiles |
title |
IPANEMAP: integrative probing analysis of nucleic acids empowered by multiple accessibility profiles |
title_full |
IPANEMAP: integrative probing analysis of nucleic acids empowered by multiple accessibility profiles |
title_fullStr |
IPANEMAP: integrative probing analysis of nucleic acids empowered by multiple accessibility profiles |
title_full_unstemmed |
IPANEMAP: integrative probing analysis of nucleic acids empowered by multiple accessibility profiles |
title_short |
IPANEMAP: integrative probing analysis of nucleic acids empowered by multiple accessibility profiles |
title_sort | ipanemap: integrative probing analysis of nucleic acids empowered by multiple accessibility profiles |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470984/ https://www.ncbi.nlm.nih.gov/pubmed/32735675 http://dx.doi.org/10.1093/nar/gkaa607 |
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