{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE300nnn/GSE300647/"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"omics_type":["Genomics"],"species":[" Mus musculus","Homo sapiens"],"gds_type":["Genome binding/occupancy profiling by high throughput sequencing"],"full_dataset_link":["https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE300647"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"Ryder: Epigenome Normalization and Variable Feature Identification","description":"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.","dates":{"publication":"2026/04/14"},"accession":"GSE300647","cross_references":{"GSM":["GSM9065803","GSM9065801","GSM9065802","GSM9065799","GSM9065800","GSM9065797","GSM9065798","GSM9065796"],"GPL":["24247","25526"],"GSE":["300647"],"taxon":[" Mus musculus","Homo sapiens"],"PMID":["[41889905]"]}}