Computational deconvolution of tumor sequencing data
2014
University of California, Irvine, USA
Two types of sequencing information are combined to improve the identifiability of reads associated with certain tumour cells or subclonal types. This method, which is available in a Python package named PyLOH, is able to outperform existing methods when used in both simulated data and in real breast tumour datasets. Therefore, it can be a useful tool to determine the subclassification of sequencing reads in mixed tumour cell populations.
Deconvolving tumor purity and ploidy by integrating copy number alterations and loss of heterozygosity
Xiaohui Xie
Added on: 07-28-2021
[1] https://academic.oup.com/bioinformatics/article/30/15/2121/2390232[2] https://data.jrc.ec.europa.eu/dataset/ffebe454-ed9a-47cf-8a33-8cf70c1b7d38
