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Omics · study · 2026

Ryder: Epigenome Normalization and Variable Feature Identification

Listed in NCBI GEO

Sequencing-based epigenomic profiling significantly advances our understanding of chromatin regulation, yet inherent technical variability complicates accurate cross-sample comparisons.

Description

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.

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Life Sciences
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE30064715 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:genome-binding-occupancy-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[organism].NCBITaxon:10090source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title