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Table 2 Combining sample-specific metagenomic databases and generic databases

From: Increasing the power of interpretation for soil metaproteomics data

Combined databases

Size of the database (in residues)

Number of sequence entries

Attribution rate (%)

Mean

sd (%)

Mean

sd (%)

Mean

sd (%)

SGC_0.30 +NCBI_0.30

5,849,545

1.9

15,340

2.1

23.76

0.2

SGCp_0.30 +NCBIp_0.30

220,207

8.8

18,644

8.8

23.73

6.9

FGS_0.30 +NCBI_0.30

4,670,124

2.3

17,101

2.4

24.98

0.6

FGS_0.30 +SGC_0.30

1,990,818

1.7

18,073

2.5

25.94

0.4

FGS_0.30 +SGC_0.30 +NCBI_0.30

6,275,438

1.9

25,298

2.3

26.21

0.9

FGS_0.30 +NCBIp_0.30

525,294

2.6

18,878

2.5

24.84

1.1

FGS_0.30 +SGCp_0.30 +NCBIp_0.30

646,100

1.9

28,603

4.8

27.24

5.8

PLASS_0.30 +NCBI_0.30

5,351,198

2.1

15,541

2.0

22.42

1.2

PLASS_0.30 +SGC_0.30

2,673,152

1.8

16,512

2.2

24.83

0.6

PLASS_0.30 +SGC_0.30 +NCBI_0.30

6,957,772

1.8

23,738

2.1

24.62

0.5

PLASS_0.30 +NCBIp_0.30

1,206,368

2.2

17,318

2.2

22.05

0.7

PLASS_0.30 +SGCp_0.30 +NCBIp_0.30

1,327,067

1.2

27,042

5.2

25.42

4.7

MGH-FGS_0.30 +SGC_0.30

3,158,743

1.8

15,862

2.1

24.40

0.4

MGH-FGS_0.30 +SGC _0.30 +NCBI_0.30

7,443,363

1.7

23,088

2.0

24.83

0.8

MGH-6RF_0.30 + SGC _0.30

2,629,015

2.0

15,664

1.9

23.43

0.8

MGH-6RF_0.30 + SGC _0.30 +NCBI_0.30

6,913,635

1.9

22,890

1.9

23.58

0.4

  1. Mean and standard deviation (sd) were calculated based on the three biological replicates