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poster

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


Sombeet Sahu, MS
ISMB (2019)

It is essential to develop new capabilities for assessing genetic variation present in rare cells and to better understand the role that these cells play in the evolution of tumor progression. With the advancement of single-cell sequencing technologies, it is now possible to interrogate thousands of cells in a single experiment.


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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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