Study
Finding structural variation from the human skin fibroblast at the single-cell level
| Study ID | Alternative Stable ID | Type |
|---|---|---|
| EGAS00001006498 | Other |
Study Description
Somatic structural variants (SVs) are widespread in cancer, but their impact on disease evolution is understudied due to a lack of methods to directly characterize their molecular consequences. We present a computational method, scNOVA, that integrates haplotype-resolved SV discovery with nucleosome occupancy analysis using Strand-seq, to functionally characterize SVs in single cells.
Study Datasets 1 dataset.
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| Dataset ID | Description | Technology | Samples |
|---|---|---|---|
| EGAD00001009307 |
In this study, we aimed to identify somatic structural variation of Skin fibroblast at the single-cell level and investigate its direct consequence on the nucleosome occupancy using scNOVA approach. For this purpose, we performed strand-specific single-cell sequencing of skin fibroblast sample from male donor.
|
NextSeq 500 | 95 |
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