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Announcing the new Tapestri Solution for Solid Tumor Oncology Research. Learn More
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Analytical methods to identify tumor heterogeneity and rare subclones in single-cell DNA sequencing data from targeted panels


Manimozhi Manivannan

High-throughput single-cell DNA sequencing is essential to assess genetic variations in rare cells and better understand the role they play in the evolution of tumor progression. To address these challenges and enable the characterization of genetic diversity in cancer cell populations, we developed a novel approach to identify mutation signatures, which define subclones present in tumor populations.


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Enabling single cell analysis of copy number variation in breast cancer
Jacqueline Marin
poster
Linking phenotype and genotype: multimodal analysis of surface proteins, intracellular proteins, and SNVs in single cells
Aik Ooi
poster
Single-cell multi-omic analysis of SNV, CNV, and protein expression
Aik Ooi
poster
A multimodal single-cell workflow to interrogate cellular responses to cancer therapy
Dalia Dhingra
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