<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE317nnn/GSE317007/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Other</omics_type><species>Homo sapiens</species><gds_type>Other</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE317007</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>FLARE: a Long-Read Nanopore Fragmentomics Pipeline Integrating Copy Number, Methylation, and End-Motif Analysis for Liquid Biopsy</name><description>Cell-free DNA (cfDNA) fragmentation patterns encode biologically and clinically relevant information beyond fragment length, reflecting nuclease activity, chromatin organization, and tissue of origin. Fragmentomics has therefore emerged as a promising strategy to enhance circulating tumor DNA (ctDNA) detection, particularly in cancers with low tumor fractions. However, most existing approaches are optimized for short-read sequencing, limiting their applicability to third-generation platforms. Here, we present FLARE (Fragmentation and Long-read Analysis of Regulatory Epigenetics), an integrated and scalable fragmentomics pipeline specifically optimized for Oxford Nanopore long-read sequencing. FLARE preserves native cfDNA fragment ends and enables the simultaneous analysis of copy number alterations, tumor fraction estimation, methylation-derived signals, fragment length distributions, and 5′ end-motif profiles.</description><dates><publication>2026/04/01</publication></dates><accession>GSE317007</accession><cross_references><GSM>GSM9463741</GSM><GSM>GSM9463740</GSM><GSM>GSM9463732</GSM><GSM>GSM9463731</GSM><GSM>GSM9463742</GSM><GSM>GSM9463734</GSM><GSM>GSM9463733</GSM><GSM>GSM9463736</GSM><GSM>GSM9463735</GSM><GSM>GSM9463738</GSM><GSM>GSM9463737</GSM><GSM>GSM9463739</GSM><GPL>26167</GPL><GSE>317007</GSE><taxon>Homo sapiens</taxon><PMID>[41908150]</PMID></cross_references></HashMap>