etal/THetA
Tumor Heterogeneity Analysis (THetA) is an algorithm that estimates the tumor purity and clonal/subclonal copy number aberrations directly from high-throughput DNA sequencing data.
Validated, scalable, community developed variant calling and RNA-seq analysis
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Tumor Heterogeneity Analysis (THetA) is an algorithm that estimates the tumor purity and clonal/subclonal copy number aberrations directly from high-throughput DNA sequencing data.
Example datasets for CNVkit (http://github.com/etal/cnvkit)
Integrative Genomics Viewer. Fast, efficient, scalable visualization tool for genomics data and annotations
Identify potential tumor suppressors from the relative burden of loss-of-function mutations.