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

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Navigating Heterogeneity in Genome Editing Outcomes Using Single-cell Analysis

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Single-Cell Multi-Omic Correlation of Single Nucleotide Variants, Copy Number Variation, and Surface Epitopes for Clonal Profiling of Myeloma

Adam Sciambi; Indira Krishnan; Ben Geller; Daniel Mendoza; Chenchen Yang; Charlie Murphy; Cedric Dos Santos; Vivek S. Chopra; Habib Hamidi; Michael Nixon; Yann Nouet; Todd Druley; Herve Avet-Loiseau

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Decoding the mosaicism of genome editing with single-cell multi-omics analysis

Saurabh Gulaiti

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

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