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Table 2 Summary of analysis results from the application of Seurat on an experimentally derived cancer dataset

From: Identification of somatic mutations in cancer through Bayesian-based analysis of sequenced genome pairs

Metrics(example tumor/normal dataset)

Average genomic coverage on normal tissue genome

55×

Average genomic coverage on tumor tissue genome

40×

Somatic base substitutions

29526

Somatic base substitutions (Quality > 20)

17044

Transition/Transversion ratio for somatic base substitutions

1.433

Transition/Transversion ratio for somatic base substitutions (Quality > 20)

1.922

dbSNP build 135 rate

0.146

dbSNP build 135 rate (Quality > 20)

0.088

Somatic insertions

1430

Somatic deletions

4067

Somatic structural variance sites

272

Somatic loss of heterozygosity sites

1523

Non-synonymous/Synonymous mutation ratio

0.00435

  1. Detailed Legend: Summary of somatic mutation analysis details from the application of Seurat on a normal/tumor genome pair of a patient with a rare lymphoma. The dbSNP rate refers to the proportion of candidate somatic variants that are included in the public genomic variation database dbSNP [20]. This number is an indicator of known germline variants that were falsely identified as tumor-specific. The calculation of the transition/transversion and the non-synonymous/synonymous variant ratios was performed using snpEff [21].