Ketrin Gjoni on Muck Rack

Ketrin Gjoni

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Articles

Machine learning-predicted chromatin organization landscape across pediatric tumors

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By Ketrin Gjoni, Shu Zhang, Rachel Yan, Bo Zhang, Daniel Miller Verified, Jeffrey Greenfield, Adam Resnick, Nadia Dahmane, Katherine S. Pollard
| Nature Verified
Abstract Structural variants (SVs) are increasingly recognized as important contributors to oncogenesis through their effects on 3D genome folding. Recent advances in whole-genome sequencing have enabled large-scale profiling of SVs across diverse tumors, yet experimental characterization of their individual impact on genome folding remains infeasible.
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Machine learning-predicted chromatin organization landscape across pediatric tumors

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By Ketrin Gjoni, Shu Zhang, Rachel Yan, Bo Zhang
| biorxiv.org
Abstract Structural variants (SVs) are increasingly recognized as important contributors to oncogenesis through their effects on 3D genome folding. Recent advances in whole-genome sequencing have enabled large-scale profiling of SVs across diverse tumors, yet experimental characterization of their individual impact on genome folding remains infeasible.
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Comparing chromatin contact maps at scale: methods and insights - Nature Methods

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By Ketrin Gjoni, Shuzhen Kuang, Evonne McArthur, John A. Capra
| Nature Verified
Abstract Comparing chromatin contact maps is an essential step in quantifying how three-dimensional (3D) genome organization shapes development, evolution, and disease. However, methods often disagree, and no gold standard exists for comparing pairs of maps. Here, we evaluate 25 ways to compare contact maps using Micro-C and Hi-C data from two cell types and in silico-generated contact maps.
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