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technical note

Single-cell DNA analysis with nuclei isolated from solid tumor tissue

Recent advancements in genomic analysis of tumors have revealed that cancer disease evolves by a reiterative process of somatic variation, clonal expansion, and selection. To identify lower-prevalence mutations, very high-level bulk sequencing read depths are required. Learn how single-cell data enables the unique reconstruction of tumor sample clonality and evolution unresolved by bulk sample analysis.


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Single-cell DNA Analysis of a Novel Acute Erythroid Leukemia (AEL) CRISPR Induced Mouse Model
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In-depth quantification of cell and gene therapy DNA integrations enabled with single-cell sequencing
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Deep understanding of cell and gene therapy genome editing protocols enabled with single-cell sequencing