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Comparative Lesions Analysis Through a Targeted Sequencing Approach

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

Fast intratumor heterogeneity inference from single-cell sequencing data.

Can Kızılkale^1,2, Farid Rashidi Mehrabadi^3,4, Erfan Sadeqi Azer^4,5

¹Department of Electrical Engineering and Computer Sciences UC Berkeley, Berkeley, CA, USA.

Nature Computational Science

|January 4, 2024

Summary

HUNTRESS is a new computational method that accurately infers tumor evolution from single-cell sequencing data. This tool offers faster analysis of mutational intratumor heterogeneity compared to existing methods.

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Last Updated: Jul 6, 2025

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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Area of Science:

Computational biology
Genomics
Cancer research

Background:

Single-cell sequencing generates noisy genotype data, complicating the analysis of intratumor heterogeneity.
Understanding tumor evolution is crucial for developing effective cancer therapies.

Purpose of the Study:

To introduce HUNTRESS, a novel computational method for inferring mutational intratumor heterogeneity.
To demonstrate HUNTRESS's accuracy and efficiency in reconstructing tumor progression histories.

Main Methods:

HUNTRESS employs a computational approach to infer tumor progression from genotype matrices.
The method's running time is linear with the number of cells and quadratic with the number of mutations.

Main Results:

HUNTRESS accurately computes tumor progression histories with high probability under reasonable conditions.
The method is faster than existing alternatives on simulated and real sequencing data, with comparable or superior accuracy.

Conclusions:

HUNTRESS provides an accurate and efficient solution for analyzing mutational intratumor heterogeneity.
Inferred tumor progression histories align with known cancer evolution scenarios.