Author

Timothy J. Sadlon

Women's and Children's Health NetworkORCID 0000-0002-4821-2462Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:Hi-C· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

James BreeniD· 2 shared Ning LiuiD· 2 shared Simon Charles BarryiD· 2 shared Stephen PedersoniD· 2 shared Hamid Alinejad‐RoknyiD· 1 shared Wai Yee LowiD· 1 shared Ying Y. WongiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

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7 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

James BreenORCID

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2 papers

Recent·Most cited

BioinformaticsEpigenetics & ChromatinPeer-reviewedAug 28, 2021

Seeing the forest through the trees: Identifying functional interactions from Hi-C

Ning Liu, Wai Yee Low, Hamid Alinejad‐Rokny…·James Breen

This paper reviews methods for identifying functional interactions from Hi-C data by classifying approaches into three categories: domain discovery, statistical significance detection, and epigenomic integration.

14 citations

Hi-Cstatistical model

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BioinformaticsbioRxivPreprintSep 4, 2020

3DFAACTS-SNP: Using regulatory T cell-specific epigenomics data to uncover candidate mechanisms of Type-1 Diabetes (T1D) risk

Ning Liu, Timothy J. Sadlon, Ying Y. Wong…·Simon Charles Barry

This paper introduces 3DFAACTS-SNP, a workflow that identifies T1D risk variants with regulatory mechanisms using Treg-specific epigenomic data, finding 36 candidate SNPs and 51 target genes.

1 citation

humanATAC-seq

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