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Table 1 z-scores (first five columns) and numbers of instances (last five columns) of the most enriched transposable elements and classes of TEs for the five possible combinations of the two datasets: CM, E2T, CM only (= CM\ E2T), E2T only (= E2T\ CM) and the intersection of the two datasets

From: The role of Transposable Elements in shaping the combinatorial interaction of Transcription Factors

 

CM

CM only

E2T

E2T only

int

CM

CM only

E2T

E2T only

int

ALR/Alpha

3.39

4.56

-2.32

-2

-1.63

19

19

0

0

0

HAL1-2a_MD

-1.73

-0.9

2.06

4.61

-1.84

1

1

10

10

0

L1PBa

2.46

5.42

-2.33

-2.12

-1.24

15

13

2

0

2

L2b

4.54

5.01

3.18

2.76

1.02

284

149

292

157

135

LSU-rRNA_Hsa

26.31

11.67

31.65

16.3

21.52

17

5

21

9

12

LTR16A

4.31

1.17

4.1

1.51

4.39

30

9

32

11

21

LTR19A

24.31

17.77

17.83

8.8

17.7

22

10

17

5

12

LTR3

26.63

9.93

27.34

9.12

25.12

12

3

12

3

9

LTR33

5.14

3.2

2.04

-0.53

3.79

42

18

31

7

24

LTR3A

38.69

29.61

21.24

4.95

21.92

25

14

14

3

11

LTR40a

8.77

8.45

6.38

4.28

6.19

20

10

17

7

10

LTR47A

6.12

-0.1

10.88

6.51

8.63

10

2

17

9

8

LTR8

12.3

15.3

2.68

1.24

3.02

52

38

22

8

14

MER11A

1.87

6.17

-1.71

-0.89

-1.8

8

8

1

1

0

MER20

2.84

0.51

3.6

2.71

2.91

52

20

59

27

32

MER21A

3.21

4.28

0.95

1.78

0.5

13

9

9

5

4

MER31A

9.47

5.65

6.36

0.97

9.56

20

7

16

3

13

MER39

4.67

1.74

9.96

8.59

5.65

18

4

33

19

14

MER39B

5.28

0.93

7.14

4.31

6.69

11

2

15

6

9

MER41A

14.46

6.04

14.16

5.75

15.04

52

15

52

15

37

MER41B

18.63

8.54

14.97

5.84

16.22

63

23

56

16

40

MER49

10.95

1.98

11.85

2.15

15.15

26

3

29

6

23

MER4A

4.12

2.47

6.85

7.26

3.65

10

4

15

9

6

MER4A1

3.9

0.32

5.87

5.09

3.96

15

5

21

11

10

MER4B

-0.89

-1.52

3.75

5.06

0.12

6

1

21

16

5

MER4D

7.58

1.72

8.2

1.84

9.92

19

3

22

6

16

MER50

4.9

5.86

2.42

2.29

1.73

21

13

16

8

8

MER52A

3.07

5.93

-0.35

0.09

-0.61

16

13

7

4

3

MER77

6.43

5.66

3.74

1.84

3.7

22

12

17

7

10

MER81

-0.59

-1.26

5.19

5.96

0.81

5

0

21

16

5

MER87

17.46

9.3

16.67

7.78

13.82

15

6

14

5

9

MER91A

3.99

4.67

2.59

1.18

2.24

17

9

15

7

8

MIR3

4.01

-0.03

5.81

3.11

5.23

172

55

214

97

117

MIRb

2.76

1.19

6.57

5.45

3.43

488

190

625

327

298

MIRc

3.05

2.04

5.89

5.56

2.66

233

95

304

166

138

MLT2B1

2.31

3.06

0.84

-0.23

0.98

15

8

12

5

7

MLT2B4

4.02

1.67

4.87

2.45

3.99

21

7

25

11

14

MamRep605

1.97

0.59

3.73

2.61

2.24

13

4

19

10

9

Plat_L3

2.64

3.61

1.34

1.29

0.62

13

8

11

6

5

LTR/ERV1

12.77

5.84

10.86

4.04

11.55

592

227

604

239

365

LTR/ERVK

7.7

7.32

1.52

-0.95

3.15

77

45

47

15

32

LTR/ERVL

8.98

5.6

5.65

1.37

6.83

415

177

395

157

238

LTR/Gypsy?

3.01

2.49

2.55

0.5

2.76

24

9

24

9

15

SINE/MIR

2.56

0.97

8.02

7.33

3.02

1170

480

1486

796

690

Satellite/centr

3.51

5.22

-2.71

-2.19

-1.89

23

23

0

0

0

rRNA

14.31

9.74

19.99

17.64

12.42

23

9

33

19

14

  1. In the first part of the table are reported TEs which are enriched (i.e. have a z-score greater than 3) in at least one of the two datasets used for the analysis. In the first five columns we report the z-score for the five possible combinations of the two datasets: CM, E2T, CM only = CM\ E2T, E2T only = E2T\ CM and the intersection of the two datasets. In the last five columns the absolute number of instances of each enriched TE in each one of the five combinations of the datasets. In the second part of the table we report the same information for the classes of TEs enriched in both the datasets used for the analysis.