Separation, characterization, and identification of individuals from multi-person blood mixtures with single cell transcriptome sequencing and a novel bioinformatics pipeline
We report a deconvolution and identification strategy of scRNA-seq datasets using mixed PMBCs data. After sequencing the data were processed with the de-goulash pipeline and analyzed with aim to identify and aquire biogeogrpahical ancestry of the involved individuals. The study includes samples of biological mixtures and in silico mixtures.
- Type: Other
- Archiver: European Genome-Phenome Archive (EGA)
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
Dataset ID | Description | Technology | Samples |
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EGAD00001008724 | Illumina NovaSeq 6000 | 1 | |
EGAD00001008725 | 1 | ||
EGAD00001008726 | Illumina NovaSeq 6000 | 1 | |
EGAD00001008727 | Illumina NovaSeq 6000 | 1 | |
EGAD00001008728 | Illumina NovaSeq 6000 | 5 | |
EGAD00001008729 | Illumina NovaSeq 6000 | 1 |
Publications | Citations |
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Single-cell transcriptome sequencing allows genetic separation, characterization and identification of individuals in multi-person biological mixtures.
Commun Biol 6: 2023 201 |
2 |