Table 1 Allelic counts for tumor sample SU070 from Jan et al.[17]
From: Inferring clonal evolution of tumors from single nucleotide somatic mutations
SNV | Variant allele read counts | Read depth | Allele frequency | Cluster ID |
|---|---|---|---|---|
CACNA1H | 12,085 | 24,860 | 0.486 (95% CI: 0.481-0.491) | A |
TET2-T1884A | 4,220 | 8,772 | 0.481 (95% CI: 0.472-0.490) | B |
TET2-Y1649stop | 7,792 | 16,211 | 0.481 (95% CI: 0.474-0.487) | A |
CXorf66 | 3,684 | 8,150 | 0.452 (95% CI: 0.443-0.461) | B |
CXorf36 | 3,523 | 8,060 | 0.437 (95% CI: 0.428-0.446) | A |
DOCK9 | 3,391 | 8,676 | 0.391 (95% CI: 0.382-0.400) | C |
NCRNA00200 | 9,201 | 25,413 | 0.362 (95% CI: 0.357-0.367) | C |
CTCF | 10,558 | 30,119 | 0.351 (95% CI: 0.346-0.355) | C |
GABARAPL1 | 1,648 | 4,992 | 0.330 (95% CI: 0.319-0341) | C |
SCN4B | 5,113 | 16,386 | 0.312 (95% CI: 0.306-0.318) | C |