<HashMap><database>EGA</database><scores/><additional><omics_type>Genomics</omics_type><study_type>Other</study_type><submitter_keywords>COVID-19</submitter_keywords><submitter_keywords>2019 novel coronavirus infection</submitter_keywords><submitter_keywords>SARS-CoV-2</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/studies/EGAS00001005468</full_dataset_link><host>EGA</host><description>EGA study EGAS00001005468</description><dataset_title>WGBS of CD14 monocytes dataset of covid19 patients from Quebec, Canada</dataset_title><repository>EGA</repository><category>restricted</category><name_synonyms>Client., Patient, determination, Epigenetic, Effects, Longterm, Clients, Long Term Effects, chemical analysis, Longterm Effect, Long-Term Effect, assay, Epigenetics, Long-Term, Effect, Long-Term Effects, Epigenomic, Long Term, Longterm Effects</name_synonyms><description_synonyms>COVID19, Plays, Single-Cell RNAseq, Sc RNAseq, Procedures, WGBS, determination, P62, Single Cell Gene Expression Profiling, COVID-19, Virus Infection, COVID-19 Virus Diseases, 2019 novel coronavirus, ScRNA seq, Prognostic Factors, sci, Virus Disease, 2019 nCoV Disease, Shotgun bisulfite sequencing., Techniques, single-cell transcriptome sequencing, single-cell RNA-seq, Method, 2019-nCoV Disease, SARS CoV 2 Infection, Studies, Severe Acute Respiratory Syndrome Coronavirus 2 Infection, HOW, How, Seqs, β-coronavirus, Analysis, 2019-nCoV, COVID 19 Pandemic, Technique, l(3)j5D5, Seq, Toy, 24B, whole genome bisulfite sequencing, β-CoVs, Prognoses, l(3)s2612, ScRNAseq, Single-Cell Transcriptome Analysis, Playthings, Analyses, Genomes, COVID-19 Virus Infection, Coronavirus Disease 2019, stru, severe acute respiratory syndrome coronavirus 2, Coronavirus Disease-19, Single Cell RNAseq, l(3)S053606, Single Cell RNA Seq, procedures, Transcriptome Analysis, RNA Seq, SARS-CoV-2 Infection, beta-CoVs, CG10293, Epigenomic, ScRNA-seq, Study, l(3)j5B5, COVID-19 Virus, Puppets, Methodological Studies, Clients, DmelCG10293, Play, RNA-Seq, COVID 19 Virus Disease, SARS Coronavirus 2 Infection, Puppet, 2019-nCoV Infections, whole-genome shotgun bisulfite sequencing, Disease, 0904/17, Coronavirus Disease 19, β-CoV, Single-Cell RNA-Seq, beta-CoV, clone 2.39, Single-Cell Gene Expression Profiling, SARS-CoV-2, scRNA-seq, Factor, 2019 Novel Coronavirus Disease, SARS-CoV-2 Infections, 2019 nCoV Infection, qkr, Single Cell Gene Expression Analysis, Procedure, COVID 19 Virus Infection, l(3)S090417, Client, Single-Cell, Single Cell Transcriptome Analysis, COVID-19 Virus Disease, 2019-nCoV Infection, Sc-RNAseq, single cell RNA sequencing, Playthings and Play, SZ1, KH93F, chemical analysis, Infection, Plaything, Coronavirus, COVID-19 Virus Infections, techniques, who, Single-Cell RNA, Single-Cell Transcriptome Analyses, betacoronavirus, Disease 2019, Factors, Pandemic, Epigenetic, Prognostic, Toys, Who/How, whole genome, Methodological, COVID-19 Pandemics, COVID-19 Pandemic, Single-Cell RNA Seq, Methodological Study, Transcriptome Analyses, SARS-coronavirus 2, Single-Cell Transcriptome, Patient, RNAseq, qkr[93F], 2019 Novel Coronavirus Infection, anon-EST:Liang-2.39, 2019-nCoV Diseases, assay, Epigenetics, COVID 19, methodology, Prognostic Factor, WGSBS</description_synonyms></additional><is_claimable>false</is_claimable><name>An epigenomics time course analysis of covid19 patients from Quebec, Canada</name><description>Investigating the cellular and epigenetic changes at play in severely ill hospitalized COVID-19 patients at admission and how it evolves with prognosis. Single-cell RNA-seq analysis done on longitudinal samples highlighted changes in the monocytic compartment, which we explored using whole-genome epigenomics methods (ATACseq abd WGBS).</description><dates><updated>2022-04-20 07:57:12</updated></dates><accession>EGAS00001005468</accession><cross_references><TAXONOMY>9606</TAXONOMY><OLS>MONDO_0100096</OLS><EGA>EGAD00001008718</EGA><EGA>EGAC00001002631</EGA></cross_references></HashMap>