Tumor/relapse calling with priors

    This scenario configures Varlociraptor to perform tumor/normal calling. Contamination of the tumor sample by normal cells is specified. Varlociraptor is able to use the known contamination with normal cells to also infer information about potential germline variants. Of course, distinguishing between germline and somatic mutations in the tumor/relapse is never certain in such a scenario, but the probabilities are accurately split between the two. The model is configured with prior assumptions about mutation rate and heterozygosity. Note that you should configure these with your own expetise or via literature research. The values shown here are only examples.

    species:
      heterozygosity: 0.001
      germline-mutation-rate: 1e-3
      ploidy:
        male:
          all: 2
          X: 1
          Y: 1
        female:
          all: 2
          X: 2
          Y: 0
      genome-size: 3.5e9
    
    samples:
      normal:
        sex: male
      tumor:
        sex: male
        somatic-effective-mutation-rate: 1e-6
        inheritance:
          clonal:
            from: normal
            somatic: true
        contamination:
          by: normal
          fraction: 0.1
      relapse:
        sex: male
        universe: "[0.0,1.0]"
        contamination:
          by: normal
          fraction: 0.2
    
    events:
      somatic_tumor: "tumor:]0.0,1.0]"
      somatic_relapse: "tumor:0.0 & relapse:]0.0,1.0]"
      germline: "normal:0.5 | normal:1.0"
    

    Prior probabilities

    sample: tumor, chromosome: 1