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Announcing the new Tapestri Solution for Solid Tumor Oncology Research. Learn More
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Using machine learning to optimize assays for single-cell targeted DNA sequencing


Nianzhen Li

High-throughput single-cell DNA sequencing allows for the detection of rare mutations in cells and identification of sub-clones defined by co-occurrence of mutations. The big challenge with multiplex sequencing at the single-cell level is the non-uniform amplification that results in inadequate coverage of mutations of interest.


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Enabling single cell analysis of copy number variation in breast cancer
Jacqueline Marin
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Linking phenotype and genotype: multimodal analysis of surface proteins, intracellular proteins, and SNVs in single cells
Aik Ooi
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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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