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Table 2 Results of statistical overrepresentation analysis with GREAT a

From: The Triform algorithm: improved sensitivity and specificity in ChIP-Seq peak finding

Method

MACS

Meta

QuEST

PeakRanger

TPic

Triform

NRSF

      

Peaks total (2894 common)

9802

4750

3574

6123

37514

10583

Peaks used (1993 common)

3500

3500

3500

3500

3500

3500

Genes

4017

4017

4105

3956

3866

4033

GO – Neurotransmitter transport

1.6 × 10-10

6.0 × 10-11

1.2 × 10-10

2.5 × 10-6

5.2 × 10-7

9.3 × 10 -13

TF – REST motif

1.1 × 10-26

4.6 × 10-25

5.4 × 10-19

1.4 × 10-25

5.6 × 10-23

1.1 × 10 -31

SRF

      

Peaks total (608 common)

4012

1553

1383

1320

111305

9555

Peaks used (310 common)

1300

1300

1300

1300

1300

1300

Genes

1930

1887

1855

1816

1565

1837

GO – Actin cytoskeleton

1.8 × 10-7

2.6 × 10 -9

1.2 × 10-6

2.1 × 10-8

-

3.8 × 10-9

TF – SRF-motif

6.0 × 10-9

3.6 × 10-12

2.4 × 10-11

3.6 × 10-12

2.4 × 10-11

2.3 × 10 -18

MAX

      

Peaks total (3306 common)

21866

10323

6556

9383

61021

15137

Peaks used (2014 common)

6500

6500

6500

6500

6500

6500

Genes

6139

6393

6626

6283

6276

6668

GO – ncRNA processing

4.3 × 10-18

5.9 × 10-14

2.0 × 10-18

3.9 × 10 -22

3.1 × 10-16

1.5 × 10-12

GO – DNA duplex unwinding

9.7 × 10 -43

3.9 × 10-14

-

1.6 × 10-5

1.1 × 10-25

-

TF – MYC motif

2.5 × 10-12

2.7 × 10-14

5.3 × 10-16

-

-

1.7 × 10 -17

TF – E2F1 motif

2.7 × 10-12

1.8 × 10-12

-

7.3 × 10 -15

5.4 × 10-13

2.9 × 10-11

TF – c-MYC from ChIP-chip

2.1 × 10-36

2.8 × 10-35

8.7 × 10-48

3.9 × 10-36

1.8 × 10-46

7.8 × 10 -58

  1. aThe table shows (for each TF) the total number of peaks identified by each peak-finder (including the number of peaks common to all methods), the number of peaks used for GREAT analysis (including the number of common peaks), the number of associated genes identified by GREAT, and the binominal FDR Q-values identified by GREAT for the selected GO and TF-associated terms. The smallest Q-value for each term is shown in bold.