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Editorial: Computational Resources for Understanding Biomacromolecular Covalent Modifications

Yu Xue¹, Hsien-Da Huang², Jiangning Song³

¹Key Laboratory of Molecular Biophysics of Ministry of Education, Bioinformatics and Molecular Imaging Key Laboratory, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.

Frontiers in Cell and Developmental Biology

|August 2, 2021

Summary

No abstract available in PubMed .

Keywords:

DNA modification RNA modification biomacromolecular covalent modification data integration deep learning machine learning post-translational modification

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