<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/GSE266nnn/GSE266160/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Mus musculus</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE266160</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>RoCK and ROI: a single-cell RNA-sequencing method with enhanced transcriptome information via targeted enrichment of transcripts and preselected, region-specific sequencing III</name><description>Many scRNAseq-based methods suffer from a high number of non-detects and a bias towards the 3' or 5' end of transcripts. We developed a method termed RoCK and ROI to address these two biases. RoCK and ROI leads to the enrichment of the transcriptome profile of cells with information on transcripts of interest</description><dates><publication>2024/05/07</publication></dates><accession>GSE266160</accession><cross_references><GSM>GSM8241649</GSM><GSM>GSM8241648</GSM><GSM>GSM8241647</GSM><GPL>24247</GPL><GSE>266160</GSE><taxon>Mus musculus</taxon><PMID>[41372142]</PMID></cross_references></HashMap>