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Table 4 Detection of validated CNVs

From: Assessment of algorithms for high throughput detection of genomic copy number variation in oligonucleotide microarray data

Sample ID

CNV

Chr

Length (kb)

CNAG Ref2a

CNAG Ref50

CNAG-GLAD Ref2

CNAG-GLAD Ref50

dChip Ref50

dChip Ref214

dChip-GLAD Ref50

dChip-GLAD Ref214

CNAT-GLAD Ref50

CNAT-GLAD Ref106

CNAT-GLAD Ref214

# Methods detected

% Methods detected

3476c

delb

4

10,655

1

1

1

1

1

1

1

1

1

1

1

11

100

1895c

del

13

4,887

1

1

1

1

1

1

1

1

1

1

1

11

100

4818c

del

12

3,204

1

1

1

1

1

1

1

1

1

1

1

11

100

9143c

del

11

3,175

1

1

1

1

1

1

1

1

1

1

1

11

100

8326c

del

14

1,923

1

1

1

1

1

1

1

1

1

1

1

11

100

6235c

del

10

1,737

1

1

1

1

1

1

0

1

0

1

1

9

82

6545c

del

7

785

1

1

1

1

1

1

1

1

1

0

1

10

91

7807c

del

22

731

1

1

1

1

1

1

1

1

1

1

1

11

100

4357c

del

6

595

1

1

1

1

1

1

1

1

1

1

1

11

100

4357m

del

6

595

1

1

1

1

1

1

1

1

1

1

1

11

100

4357c

del

6

353

1

1

1

1

1

1

1

1

1

1

1

11

100

4357m

del

6

353

1

1

1

1

1

1

1

1

1

1

1

11

100

5003c

del

2

294

1

1

1

1

0

0

1

1

1

1

1

9

82

7551c

del

2

220

1

1

1

1

1

1

1

1

1

1

1

11

100

7551m

del

2

220

1

1

1

0

1

1

1

1

1

1

1

10

91

1280c

del

4

192

1

1

1

1

1

0

1

1

1

0

1

9

82

1280m

del

4

192

1

1

1

1

1

0

1

1

1

0

1

9

82

0674c

del

2

147

1

1

1

1

0

0

1

1

1

1

1

9

82

0674f

del

2

147

1

0

1

1

1

0

1

1

1

0

1

8

73

5566c

del

14

130

0

0

1

1

0

0

0

0

1

0

1

4

36

6789c

del

14

68

1

0

1

1

0

0

0

0

1

0

1

5

45

6789m

del

14

68

1

0

1

1

0

0

0

0

0

0

1

4

36

3476c

del

1

66

1

0

1

1

1

0

1

1

1

0

1

8

73

3476m

del

1

66

1

0

1

0

0

0

1

1

1

0

1

6

55

6607c

del

20

57

0

0

1

0

0

0

0

0

0

0

0

1

9

6607m

del

20

57

0

0

1

0

0

0

0

0

0

0

0

1

9

8785c

del

18

43

0

0

0

1

1

0

1

1

1

1

1

7

64

8785f

del

18

43

0

0

0

0

1

0

1

1

0

0

0

3

27

9299f

del

9

38

0

0

1

1

0

0

1

1

1

0

1

6

55

9299c

del

9

38

0

0

1

1

0

0

1

0

1

0

1

5

45

8379c

dup

10

23,842

1

1

1

1

1

1

1

1

1

1

1

11

100

4794c

dup

16

3,356

1

1

1

0

1

1

0

0

0

0

0

5

45

8379c

dup

15

1,481

1

1

1

1

1

1

1

1

1

0

1

10

91

3595c

dup

15

781

1

1

1

0

1

1

0

0

1

0

1

7

64

3595m

dup

15

781

0

1

0

0

0

0

0

0

0

0

1

2

18

3923c

dup

11

494

1

1

0

1

1

1

0

0

1

0

1

7

64

3923m

dup

11

494

0

0

0

0

1

1

0

0

0

0

0

2

18

6168c

dup

17

324

1

0

1

0

1

1

0

0

0

0

0

4

36

Number of validated CNVs detected

29

24

33

28

27

21

26

26

29

17

32

  

% of validated CNVs detected

76

63

87

74

71

55

68

68

76

45

84

  
  1. aDetection of CNV from at least one type of array data (Xba or Hind or both). 1 means detected, 0 means not detected.
  2. bThe method of validation for each CNV is shown in Additional file 15.