Skip to main content

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