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Table 1 Summary of genome bins for AD microbiome dataset reconstructed with different binning algorithms

From: ICoVeR – an interactive visualization tool for verification and refinement of metagenomic bins

Binning algorithm

No genome bins

Completeness

Contamination

Near (≥90%)

Substantial (≥70 to 90%)

Moderate (≥50 to 70%)

Partial (<50%)

Low (≤5%)

Medium (5 to ≤10%)

High (10 to ≤15%)

Very high (>15%)

MetaBAT_1

34

8

7

5

14

31

3

0

0

MetaBAT_2

33

8

7

5

13

29

3

0

1

MyCC

49

12

8

10

19

29

14

2

4

CONCOCT

34

14

4

5

11

17

3

1

13

ICoVeRa

31

11

8

10

2

30

1

0

0

  1. MetaBAT_1 - ‘sensitive/specific’ mode
  2. MetaBAT_2 - ‘superspecific’ mode
  3. aFor ICoVeR (bold font), 31 pre-selected and the most complete genome bins (≥50% completeness based on MyCC genome bins) were refined
  4. Completeness and contamination were calculated with CheckM. For CONCOCT the maximum number of clusters was setup to 34. The draft genome quality classification scheme is as proposed by [8]