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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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technical note
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
technical note
Model organisms and patient-derived xenografts for preclinical oncology research
technical note
Correlations between genomic variants and protein expression in AML patient samples
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