Nm-Nano: a machine learning framework for transcriptome-wide single-molecule mapping of 2´-O-methylation (Nm) sites in nanopore direct RNA sequencing datasets-Reference-Cited by-同舟云学术

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Nm-Nano: a machine learning framework for transcriptome-wide single-molecule mapping of 2´-O-methylation (Nm) sites in nanopore direct RNA sequencing datasets

Published:2024-05-17 Issue:1 Volume:21 Page:1-15
ISSN:1547-6286
Container-title:RNA Biology
language:en
Short-container-title:RNA Biology

Author:

Hassan Doaa¹²,Ariyur Aditya¹,Daulatabad Swapna Vidhur¹,Mir Quoseena¹,Janga Sarath Chandra¹³

Affiliation:

1. Department of Biohealth Informatics, Luddy School of Informatics, Computing, and Engineering, Indiana University Indianapolis (IUI), Indianapolis, Indiana, USA

2. Computers and Systems Department, National Telecommunication Institute, Cairo, Egypt

3. Centre for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana

Funder

National Science Foundation

National Institute of General Medical Sciences

National Institutes of Health

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15476286.2024.2352192

Reference51 articles.

1. Cajal body-specific small nuclear RNAs: a novel class of 2'-O-methylation and pseudouridylation guide RNAs

2. Characterization of two homologous 2′-O-methyltransferases showing different specificities for their tRNA substrates

3. 2′-O-methylation stabilizes Piwi-associated small RNAs and ensures DNA elimination in Tetrahymena

4. Modification of messenger RNA by 2′-O-methylation regulates gene expression in vivo

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