<HashMap><database>biostudies-arrayexpress</database><scores/><additional><submitter>Arif Hussain</submitter><organism>Homo sapiens</organism><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-16669</full_dataset_link><description>This dataset presents genome-wide DNA methylation profiles across CpG, CHH, and CHG sequence contexts in experimental samples, including control and treatment groups. For each genomic context, the dataset includes raw CpG counts, the proportion of highly methylated sites (PropHighMeth), the proportion of lowly methylated sites (PropLowMeth), and related quantitative metrics. Sample annotations specify experimental conditions and replicate identifiers. The dataset provides a comprehensive view of DNA methylation patterns, supporting downstream analyses, comparison across conditions, and integration with gene expression or protein-level data.</description><repository>biostudies-arrayexpress</repository><sample_protocol>Sample Collection - Hela Cells were treated with various concentrations of the agent and some untreated controls were also taken as samples for the DNA extraction.</sample_protocol><sample_protocol>Library Construction - Zymo-Seq WGBS Library Kit (Zymo Research, Cat. No. D5465) was employed for the library construction for the bisulphide conversion.</sample_protocol><sample_protocol>Nucleic Acid Extraction - intron G-spin™ Total DNA Extraction Mini Kit, was employed for DNA extraction.</sample_protocol><sample_protocol>Sequencing - Illumina NovaSeq X Plus, using 10B Reagent Kit, was employed for sequencing, done at OMICS center of excellence,  M42, Abu Dhabi</sample_protocol><figure_sub>Organization</figure_sub><figure_sub>MINSEQE Score</figure_sub><figure_sub>Assays and Data</figure_sub><figure_sub>Processed Data</figure_sub><figure_sub>MAGE-TAB Files</figure_sub><data_protocol>Data Transformation - Raw whole-genome bisulfite sequencing reads were quality-checked, adapter-trimmed, and aligned to the human reference genome (hg38/GRCh38). DNA methylation levels at CpG, CHH, and CHG contexts were calculated as the percentage of methylated reads over total reads at each cytosine site. No additional signal normalization was applied beyond standard sequencing depth normalization inherent to methylation percentage calculation.</data_protocol><omics_type>Metabolomics</omics_type><omics_type>Unknown</omics_type><omics_type>Transcriptomics</omics_type><omics_type>Genomics</omics_type><omics_type>Proteomics</omics_type><instrument_platform>Centrifuge</instrument_platform><instrument_platform>Illumina NovaSeq X</instrument_platform><instrument_platform>Institutional high-performance computing cluster (Linux-based)</instrument_platform><instrument_platform>Incubator, Centrifuge</instrument_platform><instrument_platform>PCR</instrument_platform><study_type>DNA-seq</study_type><species>Homo sapiens</species><pubmed_authors>Arif Hussain</pubmed_authors></additional><is_claimable>false</is_claimable><name>Genome wide % Methylation of CpG, CHH, CHG</name><description>This dataset presents genome-wide DNA methylation profiles across CpG, CHH, and CHG sequence contexts in experimental samples, including control and treatment groups. For each genomic context, the dataset includes raw CpG counts, the proportion of highly methylated sites (PropHighMeth), the proportion of lowly methylated sites (PropLowMeth), and related quantitative metrics. Sample annotations specify experimental conditions and replicate identifiers. The dataset provides a comprehensive view of DNA methylation patterns, supporting downstream analyses, comparison across conditions, and integration with gene expression or protein-level data.</description><dates><release>2026-03-24T00:00:00Z</release><modification>2026-03-24T02:03:19.887Z</modification><creation>2026-03-19T11:46:36.513Z</creation></dates><accession>E-MTAB-16669</accession><cross_references><ENA>ERP191012</ENA><EFO>EFO_0002944</EFO><EFO>EFO_0004170</EFO><EFO>EFO_0002693</EFO><EFO>EFO_0005518</EFO><EFO>EFO_0003816</EFO><EFO>EFO_0004184</EFO></cross_references></HashMap>