THetA: inferring intra-tumor heterogeneity from high-throughput DNA sequencing data

Abstract excerpt

Tumor samples are typically heterogeneous, containing admixture by normal, non-cancerous cells and one or more subpopulations of cancerous cells. Whole-genome sequencing of a tumor sample yields reads from this mixture, but does not directly reveal the cell of origin for each read. We introduce THetA (Tumor Heterogeneity Analysis), an algorithm that infers the most likely collection of genomes and their...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Cancer Genomics and Diagnostics
• Share to Epigenetics and DNA Methylation
• Share to Pancreatic and Hepatic Oncology Research