Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
X
X
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.


VIEW
poster
Amplicon design algorithm for single cell targeted DNA sequencing using machine learning
Shu Wang
AACR (2020)
poster
Improvements in variant calling sensitivity and specificity in single-cell DNA sequencing using deep learning
Manimozhi Manivannan
AACR (2020)
poster
Powerful insights with single-cell multi-omics: Co-detecting both genotype and phenotype from the same cell
James Flynn, PhD
AGBT (2020)
poster
Subclonal identification of driver mutations and copy number variations from single-cell DNA sequencing of tumors
James Flynn, PhD
ABRF (2020)
REQUEST QUOTE