<HashMap><database>GEO</database><scores/><additional><omics_type>Genomics</omics_type><species>Homo sapiens</species><gds_type>Genome binding/occupancy profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE326479</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Epigenomic Profiling of Multiple Myeloma using two different Low-Input platforms with overlapping results.</name><description>This study compares two CUT&amp;Tag workflows for profiling histone modifications in multiple myeloma using low cell numbers. Both methods produced high-quality, reproducible data with similar performance, demonstrating their suitability for epigenomic analysis in limited patient samples.</description><dates><publication>2026/06/01</publication></dates><accession>GSE326479</accession><cross_references><GSM>GSM9632576</GSM><GSM>GSM9632575</GSM><GSM>GSM9632574</GSM><GSM>GSM9632577</GSM><GPL>24676</GPL><GSE>326479</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>