Nucleic Acids ResearchBioinformaticsPeer-reviewed journal article
IPANEMAP: Integrative Probing Analysis of Nucleic Acids Empowered by Multiple Accessibility Profiles
Afaf Saaidi, Delphine AlloucheiD, Mireille RégnieriD, Bruno SargueiliD, Yann PontyiD
- Citations
- 20
- FWCI
- 0.65
- Field percentile
- top 38%
Abstract
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. AvailabilityIPANEMAP is freely downloadable at https://github.com/afafbioinfo/IPANEMAP Contactyann.ponty@lix.polytechnique.fr Supplementary information available at NAR online.
- assay: CUT&Tag
- assay: ChIP-seq
- research focus: gene regulatory network inference
- approach: statistical model
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