Author

Tong Tong

Boston UniversityORCID 0000-0003-3734-1362Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Tong Tong1 paper · Aarhus University

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:benchmarking· 1 Organism:Drosophila· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Aaron A. ChevalieriD· 1 shared Alan Edward RentoniD· 1 shared Brendan A. Mitchell· 1 shared Duygu TosuniD· 1 shared Jonathan H. HugginsiD· 1 shared Joshua David CampbelliD· 1 shared Kristine S. YaffeiD· 1 shared Luke W. BonhamiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Aaron A. ChevalierORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintJul 16, 2025

Integrative effects of Telomere Length, Epigenetic Age, and Mitochondrial DNA abundance in Alzheimer's Disease

Shea J. Andrews, Rakshya U Sharma, Brendan A. Mitchell…·the Alzheimer’s Disease Neuroimaging Initiative

This study examines how telomere length, epigenetic age, and mitochondrial DNA abundance interact in Alzheimer's Disease, finding that their combination affects grey-matter volume.

DOI 10.1101/2025.07.16.25331683

humanbulk RNA-seq

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GeneticsbioRxivPreprintJun 7, 2024

Transposable Element (TE) insertion predictions from RNAseq inputs and TE impact on RNA splicing and gene expression in Drosophila brain transcriptomes.

Md Fakhrul Azad, Tong Tong, Nelson C. Lau

The paper validates TE insertions from RNAseq data in Drosophila brain transcriptomes and finds that only a minority of predicted insertions are confirmed by PCR, with gene expression differences observed in TE-containing genes.

DOI 10.1101/2024.06.07.597839

Drosophilabulk RNA-seq

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BioinformaticsCancer ResearchPeer-reviewedOct 8, 2021

The Mutational Signature Comprehensive Analysis Toolkit (musicatk) for the discovery, prediction, and exploration of mutational signatures

Aaron A. Chevalier, Shiyi Yang, Zainab Khurshid…·Joshua David Campbell

The paper introduces musicatk, a toolkit for analyzing mutational signatures, enabling preprocessing, analysis, visualization, and comparison to COSMIC database.

22 citations

whole-genome sequencingstatistical model

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