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Table 3 Summary of algorithm performance on JGI FAMeS data.

From: Unsupervised statistical clustering of environmental shotgun sequences

FAMeS identifiers

min D3

Fragment count

Fragment length

Accuracy

APOW1005, PPD1199, AIBF1022, AHZI1134, AHXO1014

2.3451

500

400

0.87

BCSB1222, ABFI1048, AHYP1295, AKNK1296, AAZH3626

1.9598

500

400

0.69

AHYT1136, AHYI1010, PIT10099, AINZ1029, AHZF1044

1.9314

500

400

0.85

PPD1199, AUNI1013, ABSU1031, AABS2846, AHXO1014

1.8881

500

400

0.89

AOTU1003, BCSB1222, AIOH1083, AIFS1040, AHXX1063

1.8032

500

400

0.86

BCSB1222, VNY1182, AHXF1121, AKNK1296, AHZI1134

1.3563

500

400

0.81

KPY1561, AOTY1222, BAHF1005, POG1025, AAOP1172

1.2429

500

400

0.79

BCSB1222, AADD1003, AUNI1013, KPR1102, AHXO1014

1.1571

500

400

0.87

AICI1287, AAOO1711, AKNK1296, AHXX1063, KPR1102

1.0279

500

400

0.72

AHYT1136, AAWX1070, WBJ1361, AIAI1092, AXBY1147

0.9987

500

400

0.65

AICI1287, AHYT1136, AAWX1070, AADE1259, AINZ1029

0.9856

500

400

0.72

AUSC1572, AHYF1232, AAON1449, AIAX1019, ACBK1133

0.8884

500

400

0.78

Average (12 trials, 5 sources, L = 400)

1.46

500

400

0.79

  1. Random subsets of 5 sources each were selected from the FAMeS simLC dataset, with a genomic fragment divergence, D3, as shown. Fragments were truncated to the indicated length where appropriate. Reads from the dataset were used raw with no trimming.