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Table 1 Results indicating detection sensitivity and fold-reduction in search-space achieved using the i-rDNA algorithm.

From: i-rDNA: alignment-free algorithm for rapid in silico detection of ribosomal gene fragments from metagenomic sequence data sets

Validation data set

Total number of sequences (X)

i-rDNA predicted 'probable 16S rDNA' sequences (Y)

Fold reduction in search space (X/Y)

meta-RNA predicted 16S rDNA sequences (A)

i-rDNA predicted 16S rDNA sequences within 'A' (B)

Detection sensitivity (B*100/A)

SimLC -Sanger

97493

9262

10.5

183

156

85.2

SimMC -Sanger

114456

10873

10.5

268

236

88.1

SimHC -Sanger

116770

10505

11.1

392

341

87.0

SimLC-454-400

224422

30663

7.3

268

241

89.9

SimMC-454-400

268350

36145

7.4

337

312

92.6

SimHC-454-400

267076

37492

7.1

452

407

90.0

SimLC-454-250

359076

53795

6.7

404

374

92.6

SimMC-454-250

429360

65498

6.6

506

476

94.1

SimHC-454-250

427321

64922

6.6

679

637

93.8

SimLC-454-100

897689

153505

5.8

845

776

91.8

SimMC-454-100

1073401

174535

6.2

1035

971

93.8

SimHC-454-100

1068303

130974

8.2

1514

1371

90.6

  1. * X = The total number of sequences in a given data set; Y = Total number of sequences predicted by the i-rDNA program as 'probable rDNA sequences' in that data set
  2. ** A = The total number of 16S rDNA sequences predicted by meta-rna program in the entire data set;
  3. B = Number of 16S rDNA sequences within the subset of 'probable r-DNA sequences' predicted by i-rDNA