Adapting nanopore sequencing basecalling models for modification detection via incremental learning and anomaly detection

Wang, Z., Fang, Y., Liu, Z., Hao, N., Zhang, H. H., Sun, X., Que, J., & Ding, H. (2024). Adapting nanopore sequencing basecalling models for modification detection via incremental learning and anomaly detection. Nature Communications, 15(1). https://doi.org/10.1038/s41467-024-51639-5
Authors:
Ziyuan Wang
Yinshan Fang
Ziyang Liu
Ning Hao
Hao Helen Zhang
Xiaoxiao Sun
Jianwen Que
Hongxu Ding
Affiliated Authors:
Yinshan Fang
Jianwen Que
Columbia Affiliation:
Subjects:
Nanopore Sequencing (MeSH)
Machine Learning (MeSH)
Adenosine (MeSH)
RNA, Messenger (MeSH)
RNA, Transfer (MeSH)
Escherichia coli (MeSH)
RNA Sequencing Data Analysis (OpenAlex Topic)
RNA Methylation and Modification in Gene Expression (OpenAlex Topic)
Nanofluidics and Nanopore Technology (OpenAlex Topic)
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Publication Type:
Article
Unique ID:
10.1038/s41467-024-51639-5
PMID:
39169028
DOI:
10.1038/s41467-024-51639-5
Journal:
Nature Communications
Publication Date:
Data Source:
OpenAlex
Source Link:
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