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Ryder: Epigenome Normalization and Variable Feature Identification

GSE300647 Homo sapiens; Mus musculus Genome binding/occupancy profiling by high throughput sequencing 8 samples Submitted 2026/04/14 Platform GPL25526Platform GPL24247
Summary
Sequencing-based epigenomic profiling significantly advances our understanding of chromatin regulation, yet inherent technical variability complicates accurate cross-sample comparisons. We introduce Ryder, a flexible Python package leveraging stable internal reference regions to perform robust genome-wide normalization. Ryder effectively reduces technical artifacts, distinguishes biological signals, and identifies variable genomic regions across diverse assays, including DNase-seq, ATAC-seq, MNase-seq, and ChIP-seq, with or without spike-in controls.
Published in
Ryder: Epigenome normalization using a two-tier model and internal reference regions
Cao Y, Ge G, Zhao K · bioRxiv : the preprint server for biology 2026 · PMID 41889905 · doi:10.64898/2026.03.15.711886
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Also filed as BioProject PRJNA1281605 and SRA study SRP594380. Searching any of these in the dataset finder brings you back here.

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