Author

Ariana Brenner Clerkin

Cornell UniversityORCID 0000-0003-0911-6619Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:Hi-C· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Andrew J. SpakowitziD· 1 shared Anurupa Devi YadavalliiD· 1 shared Ben BusbyiD· 1 shared Dariusz PlewczyńskiiD· 1 shared David KouřiliD· 1 shared Devany W. West· 1 shared Dvir SchirmaniD· 1 shared Jędrzej KubicaiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

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10 top collaborators · 29 mutual co-author links

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1 shared paperGenomics

Andrew J. SpakowitzORCID

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2 papers

Recent·Most cited

GenomicsPLoS Computational BiologyPeer-reviewedAug 19, 2025

The challenge of chromatin model comparison and validation a project from the first international 4D Nucleome Hackathon

Jędrzej Kubica, Sevastianos Korsak, Ariana Brenner Clerkin…·Dariusz Plewczyński

The paper describes a project from the 4D Nucleome Hackathon aimed at developing a workflow for comparing and validating chromatin models, identifying challenges in model comparison and software development.

1 citation

humanHi-C

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GenomicsbioRxivPreprintJul 28, 2024

Determining mesoscale chromatin structure parameters from spatially correlated cleavage data using a coarse-grained oligonucleosome model

Ariana Brenner Clerkin, Nicole Pagane, Devany W. West…·Viviana I. Risca

This paper develops a modeling framework to interpret RICC-seq data by simulating oligonucleosome structures and extracting nucleosome repeat lengths using a convolutional neural network.

1 citation

DNA methylationHi-C

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