Table 3

Results using contig metrics for bounding read placement algorithm.

Contig count

Contig N50

Contig bases

Species

Control

Bounded

Alternate

Control

Bounded

Alternate

Control

Bounded

Alternate





E. coli O157:H7

6

5

NA

2,315,032

4,484,293

NA

5,656,811

5,661,119

NA

S. enterica

6

6

NA

3,620,140

3,620,144

NA

4,813,438

4,813,442

NA

B. mallei

19

19

NA

424,003

424,003

NA

5,835,215

5,834,616

NA

I. multifiliis

4,273

4,273

5,765

12,070

12,070

11,444

37,616,884

37,616,884

47,976,992

E. coli K12

313

314

387

27,255

27,255

16,838

4,679,711

4,679,711

4,441,778

C. amycolatum

26

26

38

307,040

307,040

152,524

2,525,388

2,525,392

2,507,351


Performance of the same three algorithms described in Table 1. Contig count: number of contigs whose consensus is at least 2Kbp. Contig bases: sum of consensus lengths for contigs at least 2Kbp long.

Koren et al. BMC Bioinformatics 2010 11:457   doi:10.1186/1471-2105-11-457

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