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Table 2 Summary of scaffolding performance of AGOUTI and RNAPATH with K = 2

From: AGOUTI: improving genome assembly and annotation using transcriptome data

Assembly

Program

No. of contigs scaffolded

No. of scaffolds in final assembly

Scaffold N50

No. of gene models in final assembly

CE1

AGOUTI

5,349

8,525

36,096

21,776

RNAPATH

3,421

9,841

28,769

-

RNAPATHD

5,323

8,528

36,235

-

CE2

AGOUTI

3,879

5,974

73,881

20,951

RNAPATH

2,430

6,933

58,959

-

RNAPATHD

3,869

5,976

73,770

-

CE3

AGOUTI

3,093

5,243

97,924

20,658

RNAPATH

1,980

5,968

85,802

-

RNAPATHD

3,082

5,244

100,700

-

CE4

AGOUTI

2,678

4,242

127,283

20,324

RNAPATH

1,618

4,937

103,844

-

RNAPATHD

2,671

4,242

127,283

-

CE5

AGOUTI

1,966

3,284

258,507

19,978

RNAPATH

1,225

3,760

202,360

-

RNAPATHD

1,961

3,285

258,507

-

CE6

AGOUTI

941

1,501

642,283

19,411

RNAPATH

511

1,774

492,192

-

RNAPATHD

934

1,504

642,283

-

AGOUTI

1,358

5,743

73,952

23,666

N2/CB

RNAPATH

762

6,118

65,196

-

RNAPATHD

1,376

5,722

74,347

-

AGOUTI

20,594

89,452

27,524

79,222

Lyco

RNAPATH

8,797

97,181

24,127

-

RNAPATHD

20,529

89,301

28,202

-

  1. DRNAPATH run with denoised joining-pairs. Best-performing programs are highlighted in bold