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Description of outputs
TiN_estimate: tumor in normal estimate.
TiN_estimate_CI: confidence interval around tumor in normal estimate.
TiN_hets_aSCNA_model: Copy number data used in TiN estimate.
SSNVs_plot: plot illustrating somatic and germline variants supporting TiN estimate.
TiN_models_plot: TiN posterior distributions for both models and joint.
Kmeans_scatter: Scatter plot of aSCNA data and clustering results.
aSCNAs: Seg file containing the segments used by deTiN. (See description of columns below)
indels: Indels output by deTiN. (See description of columns below)
SSNVs: Somatic single nucleotide variants output but deTiN. (See description of columns below)
f_detin : deTiN's recomputed minor allele fraction after filtering.
f_variance: deTiN's recomputed variance of f_detin.
aSCNA: boolean indicating if deTiN considers this a somatic event.
n_snps_above_mu / n_snps_below_mu : Number of germline SNPs below and above the mean allele fraction.
fishers_p_convergent_seg : probability that the tumor and normal involve copy number changes of different alleles.
TiN_MAP : estimate of TiN based on this segment.
TiN_var : variance of the estimate.
TiN_ci_h / TiN_ci_l : confidence interval on the estimate.
tau : Copy number at this locus (defaults to 2 if not covered by seg file).
f_acs : Minor allele fraction (germline SNPs) at this locus (defaults 0.5 if not covered by seg file).
p_somatic_given_TiN : Probability this variant is somatic given the estimate of tumor in normal.
p_outlier : Probability this variant is an outlier given the expected allele fraction and the tumor in normal estimate.
Taylor-Weiner, A. et al. DeTiN: overcoming tumor-in-normal contamination. Nat. Methods 15, 531–534 (2018).