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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.
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Genome Biology

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