Author

Miiko Sokka

Brown UniversityORCID 0000-0002-3091-3754Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cell Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Nicola NerettiiD· 2 shared Adam J. HrubyiD· 1 shared Ana Catarina FrancoiD· 1 shared Anthony B. LagnadoiD· 1 shared Chibuzo Nwakama· 1 shared Daniela G. CostaiD· 1 shared David Holmes· 1 shared Diana JurkiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Nicola NerettiORCID

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2 papers

Recent·Most cited

Improved short nascent strand sequencing (iSNS-seq) enhances DNA replication origin detection and reduces non-origin biases

Miiko Sokka, John M. Urban, Nicola Neretti, Susan A. Gerbi

The paper improves the SNS-seq protocol to better detect DNA replication origins and reduce non-origin biases in yeast.

bioRxiv · Sep 2, 2026 · PreprintGenomics

SenoQuant: One-stop AI software for senescence marker analysis and prediction

Anthony B. Lagnado, Yukang Li, Chibuzo Nwakama, Ana Catarina Franco, Yeaeun Han, Diana Jurk, Hélène Martini, Stella G. Victorelli, Gung Lee, Dominik Saul, Adam J. Hruby, Lilian Sales Gomez, 우승화, Joshua Farr, Saranya P. Wyles, , João F. Passos

SenoQuant is an AI software for analyzing and predicting senescence markers in tissues, offering spatial quantification across imaging modalities and supporting custom models.

bioRxiv · Jun 20, 2026 · PreprintCell Biology