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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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Single-cell Multiomic Clonal Tracking in Myeloma Identifies SMM Clones that Progress to MM and Low-Frequency MM Clones with Resistance Features Enabling More Precise Application of Targeted Therapies

Adam Sciambi

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A novel single-cell measurable residual disease (scMRD) assay for simultaneous DNA mutation and surface immunophenotype profiling

Holly Tillson

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Single-cell multiomic clonal tracking in myeloma identifies SMM clones that progress to MM and low frequency MM clones with resistance features enabling more precise application of targeted therapies.

Adam Sciambi

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High Throughput Single Cell Analysis Workflow for Accurate Measurement of Genotoxicity Arising from Gene Editing Experiments

Saurabh Gulati

Using machine learning to optimize assays for single-cell targeted DNA sequencing

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