<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/EGAD00001009711</full_dataset_link><sample_count>344</sample_count><description>EGA dataset EGAD00001009711</description><repository>EGA</repository><title>Single-cell bam files and RNA sequencing of viral RNA stocks</title></additional><is_claimable>false</is_claimable><name>4ff5f28d-21e2-491f-9e8b-d30e1e1f38c7 - samples</name><description>244 infected single-cell alveolar bam files, 48 empty well bam files, and 52 RNA sequencing of amplicons (4 SARS-CoV-2 variants with 12 batches and 4 viral variants pool samples).
244 alveolar single cells were captured over 12 experimental batches and experimental condition is written in metadata uploaded as "infected_cells_final_revision.csv". on github (https://github.com/twkim-0510/SARS-CoV-2_viral_competition). Each bam file name corresponds to the sample_name column of the metadata.</description><dates><updated>2023-01-23 09:47:57</updated></dates><accession>EGAD00001009711</accession><cross_references><TAXONOMY>9606</TAXONOMY><OLS>MONDO_0100096</OLS><EGA>EGAC00001002952</EGA><EGA>EGAS00001006730</EGA></cross_references></HashMap>