Deep learning-enhanced R-loop prediction provides mechanistic implications for repeat expansion diseases-Reference-Cited by-同舟云学术

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Deep learning-enhanced R-loop prediction provides mechanistic implications for repeat expansion diseases

Published:2024-08 Issue:8 Volume:27 Page:110584
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Hu Jiyun,Xing Zetong,Yang Hongbing,Zhou Yongli,Guo Liufei,Zhang Xianhong,Xu Longsheng,Liu Qiong,Ye Jing,Zhong Xiaoming,Wang Jixin,Lin Ruoyao,Long Erping,Jiang Jiewei,Chen Liang,Pan Yongcheng,He Lang,Chen Jia-Yu^ORCID

Funder

Dream Project of Ministry of Science and Technology of the People's Republic of China

Jiangsu Province Department of Education

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Nanjing University

Publisher

Elsevier BV

Reference66 articles.

1. R-Loops as Cellular Regulators and Genomic Threats;Crossley;Mol. Cell,2019

2. R loops: new modulators of genome dynamics and function;Santos-Pereira;Nat. Rev. Genet.,2015

3. Regulatory R-loops as facilitators of gene expression and genome stability;Niehrs;Nat. Rev. Mol. Cell Biol.,2020

4. Sources, resolution and physiological relevance of R-loops and RNA-DNA hybrids;Petermann;Nat. Rev. Mol. Cell Biol.,2022

5. R Loops: From Physiological to Pathological Roles;García-Muse;Cell,2019

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