<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/GSE165nnn/GSE165349/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Genomics</omics_type><species>Curcuma longa</species><gds_type>Non-coding RNA profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE165349</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Profile of micro-RNA in Turmeric-derived nanoparticles</name><description>Analysis of micro-RNA (miRNA) in Turmeric-derived nanoparticles using next-generation sequencing (NGS). The Turmeric-derived nanoparticles were prepared by differential ultracentrifuges. We mapped about 30 to 50 million sequence reads to the plant miRNA database and identified total of 248 miRNAs.</description><dates><publication>2026/06/15</publication></dates><accession>GSE165349</accession><cross_references><GSM>GSM5031951</GSM><GSM>GSM5031950</GSM><GPL>29640</GPL><SRA>SRP302904</SRA><GSE>165349</GSE><taxon>Curcuma longa</taxon></cross_references></HashMap>