Author

Mo Sun

Georgia Institute of TechnologyORCID 0009-0000-7467-6490Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Organism:human· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:proteomics· 1

Frequent Co-Authors

Deepali L. KundnaniiD· 2 shared Francesca StoriciiD· 2 shared Penghao XuiD· 2 shared Taehwan YangiD· 2 shared Abdulmelik MohammediD· 1 shared Ashlesha GogateiD· 1 shared Baek KimiD· 1 shared Bret FreudenthaliD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersMolecular Biology

Deepali L. KundnaniORCID

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3 papers

Recent·Most cited

Molecular BiologybioRxivPreprintJun 27, 2025

Human ribomes reveal DNA-embedded ribonucleotides as a new type of epigenetic mark

Deepali L. Kundnani, Taehwan Yang, Tejasvi Channagiri…·Francesca Storici

The paper maps DNA-embedded ribonucleotides (rNMPs) across human cell types, revealing their non-random distribution and role as a novel epigenetic mark affecting gene expression.

1 citation

humanDNA methylation

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BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2024

rNMPID: a database for riboNucleoside Mono-Phosphates In DNA

Jingcheng Yang, Mo Sun, Zihan Ran…·Penghao Xu

The paper introduces rNMPID, a database that compiles rNMP-embedment data across species, providing insights into their genomic characteristics and potential roles in disease.

DOI 10.1093/bioadv/vbae063

bacteria (other)human

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BioinformaticsbioRxivPreprintFeb 10, 2020

Structural genomics and interactomics of 2019 Wuhan novel coronavirus, 2019-nCoV, indicate evolutionary conserved functional regions of viral proteins

Hongzhu Cui, Ziyang Gao, Ming Liu…·Dmitry Korkin

The paper uses computational methods to analyze structural genomics and interactomics of 2019-nCoV, comparing it to SARS coronavirus to identify conserved functional regions.

15 citations

proteomicsstatistical model

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