<HashMap><database>EGA</database><scores/><additional><omics_type>Genomics</omics_type><dataset_type>N/A</dataset_type><submitter_keywords>COVID-19</submitter_keywords><submitter_keywords>SARS-CoV-2</submitter_keywords><submitter_keywords>2019 novel coronavirus infection</submitter_keywords><submitter_keywords>2019-nCoV infection</submitter_keywords><submitter_keywords>severe acute respiratory syndrome coronavirus 2</submitter_keywords><submitter_keywords>coronavirus disease 2019</submitter_keywords><submitter_keywords>SARS-coronavirus 2</submitter_keywords><full_dataset_link>https://ega-archive.org/datasets/EGAD00001007932</full_dataset_link><sample_count>16</sample_count><description>EGA dataset EGAD00001007932</description><repository>EGA</repository><title>CBD-RAW-RNASEQ-MINI: Mini-bulk RNAseq data</title></additional><is_claimable>false</is_claimable><name>47258b10-65c4-4642-a57e-e54fcd1f56bc - samples</name><description>SmartSeq2 RNAseq data from 16 samples. For further information regarding this dataset, please contact Julian Knight and Alexander Mentzer at contact@combat.ox.ac.uk.</description><dates><updated>2021-08-31 13:02:36</updated></dates><accession>EGAD00001007932</accession><cross_references><TAXONOMY>9606</TAXONOMY><OLS>MONDO_0100096</OLS><EGA>EGAC00001002240</EGA><EGA>EGAS00001005493</EGA></cross_references></HashMap>