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Table 2 Error-correction performance comparison between ZEC, Lighter, Racer, BLESS2, Musket, BFC, SGA and MEC

From: Mining statistically-solid k-mers for accurate NGS error correction

Data

Corrector

Gain

Reca

Prec

Pber(%)

R1

ZEC

0.908

0.912

0.996

0.102

 

Lighter

0.839

0.845

0.994

0.163

 

Racer

0.760

0.822

0.929

0.190

 

BLESS2

0.189

0.409

0.650

0.879

 

Musket

0.499

0.628

0.830

0.448

 

SGA

0.746

0.815

0.922

0.202

 

BFC

0.753

0.817

0.927

0.196

 

MEC

0.909

0.911

0.998

0.102

R2

ZEC

0.584

0.663

0.894

0.537

 

Lighter

0.226

0.329

0.762

1.076

 

Racer

0.364

0.450

0.839

0.780

 

BLESS2

0.318

0.405

0.806

0.890

 

Musket

0.265

0.364

0.786

0.984

 

SGA

0.331

0.423

0.822

0.843

 

BFC

0.306

0.400

0.811

0.893

 

MEC

0.570

0.631

0.912

0.541

R3

ZEC

0.802

0.923

0.884

0.087

 

Lighter

0.445

0.764

0.706

0.256

 

Racer

0.562

0.814

0.764

0.196

 

BLESS2

0.130

0.641

0.556

0.438

 

Musket

0.533

0.802

0.749

0.211

 

SGA

0.567

0.818

0.765

0.194

 

BFC

0.603

0.833

0.783

0.176

 

MEC

0.788

0.852

0.930

0.117

R4

ZEC

0.746

0.833

0.905

0.137

 

Lighter

0.126

0.408

0.591

0.688

 

Racer

0.313

0.541

0.703

0.484

 

BLESS2

-0.517

0.018

0.003

0.862

 

Musket

0.502

0.660

0.807

0.320

 

SGA

0.542

0.690

0.823

0.289

 

BFC

0.195

0.457

0.636

0.607

 

MEC

0.705

0.806

0.889

0.201

S1

ZEC

0.918

0.935

0.982

0.056

 

Lighter

0.791

0.851

0.934

0.130

 

Racer

0.882

0.916

0.964

0.071

 

BLESS2

0.634

0.740

0.875

0.243

 

Musket

0.819

0.871

0.944

0.111

 

SGA

0.810

0.865

0.940

0.117

 

BFC

0.866

0.903

0.961

0.081

 

MEC

0.899

0.916

0.982

0.063

S2

ZEC

0.853

0.894

0.956

0.109

 

Lighter

0.058

0.329

0.548

0.891

 

Racer

0.168

0.408

0.630

0.720

 

BLESS2

0.311

0.509

0.719

0.543

 

Musket

0.232

0.453

0.672

0.636

 

SGA

0.075

0.342

0.562

0.862

 

BFC

0.751

0.822

0.920

0.157

 

MEC

0.849

0.887

0.959

0.122

  1. The numbers in bold face are the best gain achieved for each data set