Cargando…
Predicting RNA SHAPE scores with deep learning
Secondary structure prediction approaches rely typically on models of equilibrium free energies that are themselves based on in vitro physical chemistry. Recent transcriptome-wide experiments of in vivo RNA structure based on SHAPE-MaP experiments provide important information that may make it possi...
Autores principales: | Bliss, Noah, Bindewald, Eckart, Shapiro, Bruce A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549691/ https://www.ncbi.nlm.nih.gov/pubmed/32476596 http://dx.doi.org/10.1080/15476286.2020.1760534 |
Ejemplares similares
-
RNA Toehold Interactions Initiate Conditional Gene Silencing
por: Zakrevsky, Paul, et al.
Publicado: (2016) -
CyloFold: secondary structure prediction including pseudoknots
por: Bindewald, Eckart, et al.
Publicado: (2010) -
CorreLogo: an online server for 3D sequence logos of RNA and DNA alignments
por: Bindewald, Eckart, et al.
Publicado: (2006) -
Computational detection of abundant long-range nucleotide covariation in Drosophila genomes
por: Bindewald, Eckart, et al.
Publicado: (2013) -
Structural polymorphism of the HIV-1 leader region explored by computational methods
por: Kasprzak, Wojciech, et al.
Publicado: (2005)