iDNA-MS: An Integrated Computational Tool for Detecting DNA Modification Sites in Multiple Genomes-Reference-Cited by-同舟云学术

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iDNA-MS: An Integrated Computational Tool for Detecting DNA Modification Sites in Multiple Genomes

Published:2020-04 Issue:4 Volume:23 Page:100991
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Lv Hao,Dao Fu-Ying,Zhang Dan,Guan Zheng-Xing,Yang Hui,Su Wei,Liu Meng-Lu,Ding Hui,Chen Wei,Lin Hao

Funder

National Natural Science Foundation of China

Sichuan Provincial Science Fund

Natural Science Foundation for Distinguished Young Scholar of Hebei Province

UESTC

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference47 articles.

1. SDM6A: a web-based integrative machine-learning framework for predicting 6mA sites in the rice genome;Basith;Mol. Ther. Nucleic Acids,2019

2. Machine intelligence in peptide therapeutics: a next-generation tool for rapid disease screening;Basith;Med. Res. Rev.,2020

3. DNA methylation dynamics in health and disease;Bergman;Nat. Struct. Mol. Biol.,2013

4. The epigenomic landscape of prokaryotes;Blow;PLoS Genet.,2016

5. Organization and function of the 3D genome;Bonev;Nat. Rev. Genet.,2016

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1. Multi-scale DNA language model improves 6 mA binding sites prediction;Computational Biology and Chemistry;2024-10

2. The markers of the predictive DNA test for canine hip dysplasia may have a stronger relationship with elbow dysplasia;Heliyon;2024-09

3. DeepPGD: A Deep Learning Model for DNA Methylation Prediction Using Temporal Convolution, BiLSTM, and Attention Mechanism;International Journal of Molecular Sciences;2024-07-26

4. iResNetDM: interpretable and comprehensive deep learning model for 4 types of DNA modifications prediction;2024-05-21

5. iDNA-OpenPrompt: OpenPrompt learning model for identifying DNA methylation;Frontiers in Genetics;2024-04-16

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