Isothermal Amplification-Based Detection of Single-Base RNA N6-Methyladenosine

Zhong, Ke; Wu, You; Zhou, Jiangli; Yang, Xianyuan; Yi, Cheng; Ge, Lichen; Li, Zigang; He, Weiling; Cao, Jie; Jiang, Guanmin; Wang, Hongsheng; Li, Jiexin

doi:10.1021/acs.analchem.3c03961

Anal. Chem.

2023

DOI: 10.1021/acs.analchem.3c03961

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Isothermal Amplification-Based Detection of Single-Base RNA N6-Methyladenosine

Ke Zhong,

You Wu,

Jiangli Zhou

et al.

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2024

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Cited by 1 publication

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Multiomics Research: Principles and Challenges in Integrated Analysis

Luo,

Zhao,

Chen

2024

BioDesign Res

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Multiomics research is a transformative approach in the biological sciences that integrates data from genomics, transcriptomics, proteomics, metabolomics, and other omics technologies to provide a comprehensive understanding of biological systems. This review elucidates the fundamental principles of multiomics, emphasizing the necessity of data integration to uncover the complex interactions and regulatory mechanisms underlying various biological processes. We explore the latest advances in computational methodologies, including deep learning, graph neural networks (GNNs), and generative adversarial networks (GANs), which facilitate the effective synthesis and interpretation of multiomics data. Additionally, this review addresses the critical challenges in this field, such as data heterogeneity, scalability, and the need for robust, interpretable models. We highlight the potential of large language models to enhance multiomics analysis through automated feature extraction, natural language generation, and knowledge integration. Despite the important promise of multiomics, the review acknowledges the substantial computational resources required and the complexity of model tuning, underscoring the need for ongoing innovation and collaboration in the field. This comprehensive analysis aims to guide researchers in navigating the principles and challenges of multiomics research to foster advances in integrative biological analysis.

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Multiomics Research: Principles and Challenges in Integrated Analysis

Luo,

Zhao,

Chen

2024

BioDesign Res

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Isothermal Amplification-Based Detection of Single-Base RNA N6-Methyladenosine

Cited by 1 publication

References 30 publications

Multiomics Research: Principles and Challenges in Integrated Analysis

Multiomics Research: Principles and Challenges in Integrated Analysis

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