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Table 2 Frequency of inferred copy numbers at pericentric regions and deduced autosome numbers

From: Genome Alteration Print (GAP): a tool to visualize and mine complex cancer genomic profiles obtained by SNP arrays

  Copy numbera   
Sample ID 1 2 3 4 5 6 7 8 Autosome number Patternb
MDA_175   5 9 16 4 4 1   86.5 2
MDA_468c   17 8 8 3 2   1 71.5 2
BLC_B1_T14 12 25 2       38 1
BLC_B1_T17 14 21 3 1      38.5 1
BLC_B1_T19   7 10 16 4 2    76.5 2
BLC_B1_T20 1 16 9 8 3 1 1   66.5 2
BLC_B1_T22 12 24 3       37.5 1
BLC_T07   15 13 8   1 1 1 70 2
BLC_T09   3 16 13   3 2 2 85.5 2
BLC_T10    21 9 2 3 3 1 87 1.5
BLC_T12   11 10 12 4 1   1 73.5 2
BLC_T15 10 27 2       40 1
BLC_T23 3 13 11 6 2    4 68.5 2
BLC_T31   5 4 25 1 2 1 1 84.5 2
BLC_T34 3 36        42 1
BLC_T37 1 16 9 6 1 4   2 70.5 2
L_B1_T24B 1 11 12 7 6 2    72 2
L_B1_T25A   37   2      46 1
L_B1_T30   3 11 23 1 1    79 2
L_B1_T47 1 34 2 1 1     47 1
  1. aFrequency of inferred copy numbers (1 to 8 are indicated) at pericentric regions. b1, 2, 1.5 indicates a near-diploid, near-tetraploid, and near-triploid patterns of Genome Alteration Print (GAP), respectively (Figure 2, Additional data file 1). cEstimated high chromosome copy number (= 8) is likely to result from a segmental amplification in one pericentric region, leading to overestimation of the autosome number in MDA_468.