A zero-agnostic model for copy number evolution in cancer
Year: 2023
Type: article
Abstract: In this repository, we store the preprocessed, publicly available data used in our manuscript, "A zero-agnostic model for copy number evolution in cancer." In particular, our manuscript analyzes two datasets: Bulk whole-genome sequencing data from ten metastatic prostate cancer patients [1] Single-cell whole genome sequencing (WGS) data from 28 human breast and ovarian tumor samples [2] The copy number profiles for each dataset are stored respectively in the files gundem.zip and funnell.zip in the root directory of this repository. Both of these datasets are also publicly available from the original publications. References: [1] Gunes Gundem, Peter Van Loo, Barbara Kremeyer, Ludmil B Alexandrov, Jose Tubio, Elli Papaemmanuil, Daniel S Brewer, Heini ML Kallio, Gunilla Högnäs, Matti Annala, et al. The evolutionary history of lethal metastatic prostate cancer. Nature, 520(7547):353–357, 2015. [2] Tyler Funnell, Ciara H O’Flanagan, Marc J Williams, Andrew McPherson, Steven McKinney, Farhia Kabeer, Hakwoo Lee, Sohrab Salehi, Ignacio Vázquez-García, Hongyu Shi, et al. Single-cell genomic variation induced by mutational processes in cancer. Nature, pages 1–10, 2022.
Authors: Schmidt, Henri, Sashittal, Palash, Raphael, Ben
Institution: Princeton University
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6950485647