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Table 2 TGDP function parameters for the eleven TF libraries. Non-linear regression module of SigmaPlot program was used to estimate parameters of GDP function. More details regarding binding statistics and TGDP function parameters are presented in Definitions, Methods and Additional files.

From: Statistics of protein-DNA binding and the total number of binding sites for a transcription factor in the mammalian genome

TF

GDP-defined specificity threshold t

at t

J

k± SE

β± SE

# GDP-predicted seq.,

#Observed seq. at GDP specificity threshold t, M2

/M2

Esrrb

12

21646

338

2.40 ± 0.077

10.42 ± 0.682

570938

551406

1.04

Nanog

11

10343

312

1.81 ± 0.156

8.00 ± 1.33

297493

299830

0.99

Oct4

11

1697

195

3.00 ± 0.494

7.66 ± 2.910

34153

30637

1.11

sox2

13

2082

206

2.35 ± 0.225

3.03 ± 1.432

49976

44023

1.14

E2f1

16

13741

399

3.55 ± 0.006

46.24 ± 0.340

553688

517826

1.07

Tcfcp2I1

17

16293

382

1.50 ± 0.077

9.28 ± 1.227

771652

839103

0.92

Zfx

11

7161

197

2.90 ± 0.162

3.73 ± 0.778

129813

123943

1.05

Klf4

10

7433

184

4.83 ± 0.335

11.16 ± 1.421

112898

107891

1.05

c-Myc

12

1980

132

2.94 ± 0.742

16.24 ± 7.298

47030

44402

1.06

n-Myc

13

3214

119

2.81 ± 0.228

4.01 ± 1.306

68725

65302

1.05

STAT 3

11

1229

173

4.02 ± 0.650

16.19 ± 4.248

24209

22635

1.07