HiPR: High-throughput probabilistic RNA structure inference

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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Bibliographic Details
Main Authors: Pavel P. Kuksa, Fan Li, Sampath Kannan, Brian D. Gregory, Yuk Yee Leung, Li-San Wang
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
High-throughput structure-sensitive sequencing
RNA structure inference
Probabilistic modeling
DMS-seq
DMS-MaPseq
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037020302932

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http://www.sciencedirect.com/science/article/pii/S2001037020302932

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