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IPANEMAP: integrative probing analysis of nucleic acids empowered by multiple accessibility profiles
Author(s) -
Afaf Saaidi,
Delphine Allouche,
Mireille Régnier,
Bruno Sargueil,
Yann Ponty
Publication year - 2020
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkaa607
Subject(s) - computational biology , rna , biology , cluster analysis , nucleic acid , nucleic acid structure , biological system , sampling (signal processing) , reactivity (psychology) , task (project management) , computer science , data mining , biochemical engineering , machine learning , genetics , systems engineering , gene , medicine , alternative medicine , filter (signal processing) , pathology , engineering , computer vision
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.

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