HiPR: High-throughput probabilistic RNA structure inference

Recent high-throughput structure-sensitive genome-wide sequencing-based assays have enabled large-scale studies of RNA structure, and robust transcriptome-wide computational prediction of individual RNA structures across RNA classes from these assays has potential to further improve the prediction a...

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Detalles Bibliográficos
Autores principales: Kuksa, Pavel P., Li, Fan, Kannan, Sampath, Gregory, Brian D., Leung, Yuk Yee, Wang, Li-San
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327253/
https://www.ncbi.nlm.nih.gov/pubmed/32637050
http://dx.doi.org/10.1016/j.csbj.2020.06.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327253/
https://www.ncbi.nlm.nih.gov/pubmed/32637050
http://dx.doi.org/10.1016/j.csbj.2020.06.004

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