Buffy coat dataset 1
Single-cell DNA methylation profiling (sciMET) of buffy coat nuclei from eight healthy adult donors (3 male, 5 female; seven European and one Asian ancestry), to characterize the effects of donor genetic diversity in pooled single-cell DNA methylation experiments. Nuclei were fixed, nucleosome-depleted and tagmented with the Single-cell DNA Methylation Kit (v1.1, Scale Biosciences/10x Genomics), with two modifications: HEPES resuspension buffer was used instead of the kit’s Met Wash buffer, and centrifugation steps during nuclei preparation and tagmentation were kept at 300 × g. Each donor was kept separate on the tagmentation plates (45 wells per donor, 5,000 nuclei per well) and received a donor-specific set of tagmentation indices, so donor identity could be assigned from the barcodes. Nuclei were stained with DRAQ5 and singlets were sorted by FACS. Libraries were prepared with the v1.1 kit. This dataset (4,240 nuclei) provided ground-truth donor identities for pseudobulk genotype calling (Revelio double-masking, then FreeBayes), and those genotypes were used downstream to demultiplex the pooled datasets.
- 03/11/2026
- 1 sample
- DAC: EGAC00001003391
- Technology: Illumina NovaSeq X
- Archive: European Genome-phenome Archive (EGA)
Data policy of Data Access Committee of UZ Leuven
The procedure described below always applies to re-use transfer of genomic or genetic data that are in an external database. This external database can be the European Genome-phenome Archive (EGA). When a researcher receives requests for reuse of data, or when the database requires an intervention of a data access committee, the DAC will assess these requests for reuse and transfer of genomic or genetic data by third parties. Patient consent to research participation (ICF) and compatibility with new data processing should be checked. An application should be submitted at dac@uzleuven.be. So applications for re-use of genomic/genomic data go through the DAC. In the first place, DAC performs a front desk function here. An application form should be completed by the applicant. To begin with, the DAC employee then checks the ICF and its compatibility with further use. The DAC employee also ensures that a check is made with the competent services to ensure that there are no legal impediments. If i) there are possible commercial interests (commercial use of the data by the recipient or the requesting party is a commercial party), ii) the researcher does not agree, or iii) there is some ambiguity about potential risks of the data transfer (e.g. violation (GDPR) legislation, identity of recipient party, use of the data), the question is referred to the DAC advisory board.
Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.
| Study ID | Study Title | Study Type |
|---|---|---|
| EGAS50000002212 | Epigenetics |
This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.
| ID | File Type | Size | Quality Report |
Located in
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| EGAF50001069996 | fastq.gz | 348.7 MB |
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| EGAF50001069997 | fastq.gz | 629.9 MB |
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| EGAF50001069998 | fastq.gz | 5.7 GB |
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| EGAF50001069999 | fastq.gz | 8.1 GB |
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| EGAF50001070000 | fastq.gz | 867.9 MB |
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| EGAF50001070001 | fastq.gz | 5.6 GB |
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| EGAF50001070002 | fastq.gz | 725.5 MB |
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| EGAF50001070003 | fastq.gz | 8.7 GB |
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| EGAF50001070004 | fastq.gz | 427.3 MB |
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| EGAF50001070005 | fastq.gz | 385.0 MB |
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| EGAF50001070006 | fastq.gz | 7.1 GB |
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| EGAF50001070007 | fastq.gz | 6.5 GB |
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| EGAF50001070008 | fastq.gz | 5.2 GB |
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| EGAF50001070009 | fastq.gz | 638.6 MB |
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| EGAF50001070010 | fastq.gz | 540.4 MB |
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| EGAF50001070011 | fastq.gz | 5.4 GB |
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| EGAF50001070012 | fastq.gz | 7.0 GB |
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| EGAF50001070013 | fastq.gz | 3.5 GB |
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| EGAF50001070014 | fastq.gz | 529.0 MB |
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| EGAF50001070015 | fastq.gz | 216.7 MB |
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| EGAF50001070016 | fastq.gz | 551.5 MB |
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| EGAF50001070017 | fastq.gz | 590.3 MB |
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| EGAF50001070018 | fastq.gz | 3.9 GB |
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| EGAF50001070019 | fastq.gz | 10.1 GB |
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| EGAF50001070020 | fastq.gz | 582.5 MB |
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| EGAF50001070021 | fastq.gz | 440.8 MB |
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| EGAF50001070022 | fastq.gz | 5.2 GB |
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| EGAF50001070023 | fastq.gz | 6.9 GB |
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| EGAF50001070024 | fastq.gz | 330.9 MB |
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| EGAF50001070025 | fastq.gz | 501.4 MB |
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| EGAF50001070026 | fastq.gz | 4.6 GB |
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| EGAF50001070027 | fastq.gz | 3.2 GB |
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| EGAF50001070028 | fastq.gz | 3.0 GB |
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| EGAF50001070029 | fastq.gz | 508.2 MB |
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| EGAF50001070030 | fastq.gz | 468.2 MB |
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| EGAF50001070031 | fastq.gz | 5.0 GB |
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| EGAF50001070032 | fastq.gz | 815.3 MB |
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| EGAF50001070033 | fastq.gz | 288.7 MB |
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| EGAF50001070034 | fastq.gz | 7.4 GB |
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| EGAF50001070035 | fastq.gz | 4.5 GB |
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| EGAF50001070036 | fastq.gz | 3.9 GB |
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| EGAF50001070037 | fastq.gz | 513.6 MB |
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| EGAF50001070038 | fastq.gz | 262.9 MB |
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| EGAF50001070039 | fastq.gz | 4.8 GB |
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| EGAF50001070040 | fastq.gz | 650.4 MB |
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| EGAF50001070041 | fastq.gz | 2.6 GB |
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| EGAF50001070042 | fastq.gz | 619.0 MB |
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| EGAF50001070043 | fastq.gz | 6.7 GB |
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| EGAF50001070168 | vcf.gz | 1.1 GB |
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| 49 Files (148.2 GB) | ||||
