R2DT is a framework for predicting and visualising RNA secondary structure using templates

Non-coding RNA function is poorly understood, partly due to the challenge of determining RNA secondary (2D) structure. Here, the authors present a framework for the reproducible prediction and visualization of the 2D structure of a wide array of RNAs, which enables linking RNA sequence to function.

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Detalles Bibliográficos
Autores principales: Blake A. Sweeney, David Hoksza, Eric P. Nawrocki, Carlos Eduardo Ribas, Fábio Madeira, Jamie J. Cannone, Robin Gutell, Aparna Maddala, Caeden D. Meade, Loren Dean Williams, Anton S. Petrov, Patricia P. Chan, Todd M. Lowe, Robert D. Finn, Anton I. Petrov
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/08c55853e54b4060954e1a43ffedc3a6
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Descripción
Sumario:Non-coding RNA function is poorly understood, partly due to the challenge of determining RNA secondary (2D) structure. Here, the authors present a framework for the reproducible prediction and visualization of the 2D structure of a wide array of RNAs, which enables linking RNA sequence to function.