| Autor: |
Jiyun Hu, Zetong Xing, Hongbing Yang, Yongli Zhou, Liufei Guo, Xianhong Zhang, Longsheng Xu, Qiong Liu, Jing Ye, Xiaoming Zhong, Jixin Wang, Ruoyao Lin, Erping Long, Jiewei Jiang, Liang Chen, Yongcheng Pan, Lang He, Jia-Yu Chen |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
iScience, Vol 27, Iss 8, Pp 110584- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2589-0042 |
| DOI: |
10.1016/j.isci.2024.110584 |
| Popis: |
Summary: R-loops play diverse functional roles, but controversial genomic localization of R-loops have emerged from experimental approaches, posing significant challenges for R-loop research. The development and application of an accurate computational tool for studying human R-loops remains an unmet need. Here, we introduce DeepER, a deep learning-enhanced R-loop prediction tool. DeepER showcases outstanding performance compared to existing tools, facilitating accurate genome-wide annotation of R-loops and a deeper understanding of the position- and context-dependent effects of nucleotide composition on R-loop formation. DeepER also unveils a strong association between certain tandem repeats and R-loop formation, opening a new avenue for understanding the mechanisms underlying some repeat expansion diseases. To facilitate broader utilization, we have developed a user-friendly web server as an integral component of R-loopBase. We anticipate that DeepER will find extensive applications in the field of R-loop research. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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