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Finding structural variation from the human skin fibroblast at the single-cell level

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.

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
EGAD00001009307 NextSeq 500 95
Publications Citations
Functional analysis of structural variants in single cells using Strand-seq.
Nat Biotechnol 41: 2023 832-844
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