Skip to main content

Table 2 A selection of assembly metrics for the real datasets

From: CARE 2.0: reducing false-positive sequencing error corrections using machine learning

 

NG50

NGA50

R1

R2

R3

R1

R2

R3

Uncorrected

8518

43,568

5506

6325

35,938

5439

CARE 1.0

8568

44,397

10,046

6333

36,609

9278

CARE 2.0 pe

8537

44,165

10,251

6310

36,459

9604

CARE 2.0 pe forest

8575

45,807

10,624

6350

37,649

10,014

Musket

6635

33,375

9886

4831

28,470

9083

SGA

8513

42,350

9806

6322

35,140

9099

Karect

8220

34,203

10,263

6077

29,503

9633

Bcool

8189

50,280

7727

5962

40,116

7032

Lighter

8108

33,301

10,162

5988

28,015

9300

BFC

8497

42,281

10,470

6284

34,782

9779

  1. Bold indicates the best values per column