Finding structural variation from the human skin fibroblast at the single-cell level
收藏NIAID Data Ecosystem2026-03-13 收录
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https://www.omicsdi.org/dataset/ega/EGAS00001006498
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资源简介：
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.EGA study EGAS00001006498
创建时间：
2022-09-06
