Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
X
Announcing new Tapestri Platform updates including lowered input threshold and expanded heme-onc menu. Learn More
X
poster

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.


VIEW
poster
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
poster
Method to analyze mutational and phenotypic profiles from single cell for clonal evolution
Saurabh Parikh
poster
Amplicon design algorithm for single cell targeted DNA sequencing using machine learning
Shu Wang
REQUEST QUOTE