Published July 13, 2022
| Version v1
Dataset
Open
Fast Intratumor Heterogeneity Inference from Single-Cell Sequencing Data (simulated data - Extended Data Figures)
Authors/Creators
- 1. National Institutes of Health
- 2. Department of Electrical Engineering and Computer Sciences, UC Berkeley
Description
This data repository contains simulated data used for benchmarking HUNTRESS against the existing alternative tools. Results of the benchmarking are shown in Extended Data Figures 1-10 of the paper "Fast Intratumor Heterogeneity Inference from Single-Cell Sequencing Data" (to appear in Nature Computational Science).
Files
Extended Data Figure 1.zip
Files
(34.6 MB)
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Additional details
References
- Mehrabadi, Farid Rashidi, et al. "Profiles of expressed mutations in single cells reveal subclonal expansion patterns and therapeutic impact of intratumor heterogeneity." bioRxiv (2021).
- Ross, Edith M., and Florian Markowetz. "OncoNEM: inferring tumor evolution from single-cell sequencing data." Genome biology 17.1 (2016): 1-14.
- Malikic, Salem, et al. "Integrative inference of subclonal tumour evolution from single-cell and bulk sequencing data." Nature communications 10.1 (2019): 1-12.