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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
Model organisms and patient-derived xenografts for preclinical oncology research
technical note
Correlations between genomic variants and protein expression in AML patient samples
technical note
AML subpopulations defined by SNV, CNV, and protein expression
technical note
Copy number variants (CNV) and single nucleotide variants (SNV) simultaneously detected in single cells
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