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Table 3 Comparison of optimal motifs for TFs common to MatBase, Transfac and the union of public databases

From: Optimally choosing PWM motif databases and sequence scanning approaches based on ChIP-seq data

ENCODE/funcgen

MatBase

Transfac Prof.

Jaspar vert.

Hocomoco

HT-Selex

SwissRegulon

TF name

AUC

matrix name

AUC

matrix name

AUC

matrix name

AUC

matrix name

AUC

matrix name

AUC

matrix name

ATF3

0.710

V$CREB.02

0.693

M00981

–

–

0.694

M00015

–

–

–

–

Ap2alpha

0.809

V$AP2.02

0.807

M01045

0.816

MA0003.2

0.777

M00004

0.779

selex292

0.754

TFAP2A,C.p2

Ap2gamma

0.799

V$AP2.02

0.765

M00470

0.792

MA0524.1

0.781

M00006

0.784

selex298

0.751

TFAP2A,C.p2

BHLHE40

0.947

V$BHLHB2.01

0.799

M01034

0.885

MA0464.1

0.955

M00022

0.958

selex316

0.917

ARNT_ARNT2_BHLHB2_

            

MAX_MYC_USF1.p2

CTCF

0.929

V$CTCF.04

0.931

M01259

0.942

MA0139.1

0.940

M00045

0.922

selex2

0.934

CTCF.p2

Cfos

0.751

V$AP1.01

0.759

M00517

0.744

MA0476.1

0.760

M00093

–

–

0.742

FOS_FOSB,L1_JUNB,D.p2

Cjun

0.814

V$AP1.01

0.820

M00925

0.799

MA0099.1

0.827

M00183

–

–

0.570

JUN.p2

Cmyc

0.700

V$CMYC.01

0.685

M00322

0.702

MA0147.1

0.690

M00216

–

–

0.659

ARNT_ARNT2_BHLHB2_

            

MAX_MYC_USF1.p2

E2F1

0.802

V$E2F3.01

0.764

M00938

0.753

MA0024.2

0.694

M00052

0.723

selex750

0.674

E2F1..5.p2

E2F4

0.682

V$E2F4.01

0.678

M00920

0.689

MA0470.1

0.650

M00055

0.502

selex753

0.654

E2F1..5.p2

E2F6

0.698

V$E2F4.01

0.435

M01252

0.653

MA0471.1

0.681

M00057

–

–

–

–

EBF

0.740

V$EBF1.01

0.736

M01871

0.721

MA0154.2

0.746

M00037

0.751

selex79

0.692

EBF1.p2

ELF1

0.862

V$ELK1.03

0.835

M02053

0.800

MA0473.1

0.832

M00065

0.836

selex81

0.797

ELF1,2,4.p2

ETS1

0.765

V$ELK3.01

0.753

M02063

0.680

MA0098.1

0.708

M00082

0.765

selex100

0.683

ETS1,2.p2

Egr1

0.831

V$EGR1.01

0.848

M01972

0.822

PB0010.1

0.844

M00060

0.853

selex3

0.841

EGR1..3.p2

FOSL1

0.885

V$AP1.02

0.890

M00517

0.890

MA0477.1

0.865

M00091

–

–

0.881

FOS_FOSB,L1_JUNB,D.p2

FOSL2

0.877

V$AP1.01

0.870

M00925

0.865

MA0478.1

0.885

M00092

–

–

0.852

FOSL2.p2

FOXA1

0.763

V$FREAC4.01

0.826

M01261

0.832

MA0148.3

0.808

M00094

–

–

–

–

FOXA2

0.759

V$FREAC4.01

0.735

M02014

0.834

MA0047.2

0.816

M00095

–

–

0.834

FOXA2.p3

Gabp

0.873

V$ELK1.03

0.867

M02074

0.879

MA0062.2

0.876

M00116

0.871

selex116

0.870

ELK1,4_GABPA,B1.p3

Gata1

0.711

V$GATA5.01

0.685

M00203

0.683

MA0035.3

0.697

M00117

–

–

0.479

GATA1..3.p2

Gata2

0.853

V$GATA2.03

0.834

M00789

0.834

MA0036.2

0.843

M00118

–

–

0.538

GATA1..3.p2

HNF4A

0.801

V$HNF4.01

0.838

M02220

0.847

MA0114.2

0.850

M00147

0.837

selex673

0.809

HNF4A_NR2F1,2.p2

HNF4G

0.864

V$HNF4.01

0.811

M00764

0.898

MA0484.1

0.788

M00148

–

–

–

–

IRF4

0.669

V$ISRE.01

0.641

M00772

0.648

PB0034.1

0.603

M00174

0.665

selex148

–

–

Junb

0.912

V$AP1.01

0.912

M00925

0.920

MA0490.1

0.911

M00181

–

–

0.900

FOS_FOSB,L1_JUNB,D.p2

Jund

0.820

V$AP1.01

0.823

M00925

0.817

MA0491.1

0.827

M00182

–

–

0.805

FOS_FOSB,L1_JUNB,D.p2

MEF2A

0.643

V$MEF2.02

0.650

M00231

0.653

MA0052.2

0.616

M00204

0.615

selex156

0.604

MEF2A,B,C,D.p2

MEF2C

0.721

V$MEF2.02

0.682

M00941

0.719

MA0497.1

0.664

M00205

–

–

0.669

MEF2A,B,C,D.p2

Max

0.738

V$CMYC.01

0.703

M00322

0.700

PB0043.1

0.720

M00199

0.730

selex326

0.711

ARNT_ARNT2_BHLHB2_

            

MAX_MYC_USF1.p2

NFKB

0.896

V$NFKAPPAB65.02

0.891

M00774

0.878

MA0105.3

0.872

M00235

0.776

selex189

0.861

NFKB1_REL_RELA.p2

NR4A1

0.512

V$NBRE.01

0.492

M01217

–

–

0.542

M00259

–

–

–

–

Nanog

0.560

V$HOXA2.01

0.631

M01247

–

–

0.556

M00221

–

–

0.630

NANOGmouse.p2

Nfe2

0.855

V$NFE2.01

0.846

M00037

0.877

MA0501.1

0.882

M00231

0.771

selex392

0.835

NFE2.p2

Nrf1

0.951

V$NRF1.01

0.969

M00652

0.963

MA0506.1

0.973

M00264

0.977

selex194

0.968

NRF1.p2

Nrsf

0.838

V$NRSF.02

0.879

M01256

0.850

MA0138.2

0.854

M00316

–

–

0.847

REST.p3

POU2F2

0.513

V$OCT1.02

0.498

M00210

0.481

MA0507.1

0.504

M00290

0.503

selex232

0.503

POU2F1..3.p2

POU5F1

0.868

V$OCT3_4.02

0.857

M01125

0.881

MA0142.1

0.874

M00294

–

–

0.857

POU5F1_SOX2dimer.p2

PU1

0.932

V$SPI1.05

0.884

M01203

0.914

MA0080.3

0.922

M00350

0.860

selex123

0.884

SPI1.p2

Pax5

0.613

V$PAX5.01

0.613

M00143

0.713

MA0014.2

0.729

M00274

0.768

selex200

0.606

PAX5.p2

Pbx3

0.739

V$PBX1_MEIS1.01

0.546

M00998

–

–

0.758

M00280

–

–

–

–

RXRA

0.714

V$PPARG.03

0.608

M02272

0.707

MA0065.1

0.693

M00326

0.731

selex710

0.720

RXRG_dimer.p3

SP1

0.559

V$SP1.03

0.552

M00932

0.561

MA0079.3

0.555

M00346

0.547

selex29

0.551

SP1.p2

SP2

0.711

V$SP4.01

0.719

M01783

0.726

MA0516.1

0.676

M00347

–

–

–

–

Srf

0.681

V$SRF.05

0.693

M00186

0.661

MA0083.1

0.657

M00355

0.657

selex159

0.656

SRF.p3

Tcf12

0.723

V$ASCL2.01

0.679

M00698

0.712

MA0521.1

0.703

M00152

–

–

0.574

TAL1_TCF3,4,12.p2

Tr4

0.601

V$HNF4.01

0.644

M01776

0.652

MA0504.1

0.623

M00256

0.611

selex676

–

–

USF1

0.947

V$USF1.02

0.936

M00121

0.903

MA0093.2

0.945

M00396

0.935

selex352

0.932

ARNT_ARNT2_BHLHB2_

            

MAX_MYC_USF1.p2

Yy1

0.778

V$YY1.03

0.723

M02044

0.713

MA0095.2

0.735

M00394

0.756

selex33

0.657

YY1.p2

ZBTB33

0.489

V$KAISO.01

0.517

M01119

0.881

MA0527.1

0.749

M00184

–

–

–

–

ZBTB7A

0.699

V$ZF9.01

0.682

M01100

–

–

0.640

M00404

0.632

selex37

–

–

ZEB1

0.766

V$ZEB1.01

0.689

M00414

0.752

MA0103.2

0.686

M00409

–

–

0.734

ZEB1.p2

Znf263

0.685

V$ZNF263.01

0.762

M01587

0.653

MA0528.1

–

–

–

–

–

–

  1. For each TF the motif with the highest AUC from each database is presented. The best motifs from all databases and the corresponding AUC are bolded (note that for FOXA2 motifs from Jaspar and SwissRegulon are both optimal). AUC are calculated with respect to negative sequences composed of flanks of ChIP-seq peaks.