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poster

Analytical methods to identify tumor heterogeneity and rare subclones in single-cell DNA sequencing data from targeted panels


Manimozhi Manivannan
AACR (2019)

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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Single-cell multi-omics for simultaneous detection of SNVs, CNVs, and proteins using the Tapestri Platform
Aik Ooi, PhD
AMP (2019)
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An automated high-throughput custom single-cell targeted DNA sequencing platform to reveal rare clonal evolution in cancer and characterize mutation profiles in CRISPR edited cells
Daniel Mendoza
ASHG (2019)
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Single-cell simultaneous detection of DNA genotype and protein expression
Aik Ooi, PhD
SCG (2019)
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Using Machine Learning to Optimize Assays for Single-Cell Targeted DNA Sequencing
Shu Wang
SCG (2019)
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