MixClone is a tool to infer and study subclonal structures of tumor genomes structural variation, such as subclonal cellular prevalences, allelic configuration, copy number estimation. The MixClone package also includes visualization tools. The MixClone algorithm uses a unique probabilistic mixture model to infer predominances of subclonal cell populations from whole-genome sequencing (WGS) data.
Genetics; Structural genomics; Oncology
Li Y, Xie X "MixClone: a mixture model for inferring tumor subclonal populations." BMC Genomics. 2015;16 Suppl 2:S1. 21. https://doi.org/10.1186/1471-2164-16-S2-S1
PMID: 25707430
PMCID: PMC4331709
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