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Table 1 Number of OTUs and species diversity estimation by LSH-Div algorithm.

From: 16S rRNA metagenome clustering and diversity estimation using locality sensitive hashing

OTUs Cutoff Distance 0.03
Sample Reads # OTUs Chao1 HI ACE
53R 11218 1459 3726.53 4.59 3564.58
55R 8680 1461 3915.25 4.92 4274.4
112R 11132 2111 6838.9 5.62 7255.16
115R 13441 1540 3930.08 4.6 3972.27
137 12259 1266 3181.92 4.85 2740.44
138 11554 1306 3031.06 4.61 2998.51
FS312 52569 4321 13942.28 4.78 14345.15
FS396 73657 4594 14228.93 4.18 14826.74
OTUs Cutoff Distance 0.05
53R 11218 1172 3050.32 4.22 2786.32
55R 8680 1199 3296.38 4.53 3531.21
112R 11132 1795 5781.85 5.19 6126.08
115R 13441 1205 3042.52 4.25 3094.09
137 12259 1041 2595.72 4.60 2317.95
138 11554 1072 2351.90 4.28 2372.84
FS312 52569 3505 10367.35 4.56 10353.72
FS396 73657 3676 10672.02 4.04 10579.55
OTUs Cutoff Distance 0.10
53R 11218 914 2308.14 3.95 2154.07
55R 8680 963 2418.55 4.35 2538.92
112R 11132 1506 4787.73 4.96 5040.54
115R 13441 943 2446.11 3.83 2409.63
137 12259 817 2028.76 4.24 1831.79
138 11554 845 1985.47 4.02 1827.27
FS312 52569 2771 7038.76 4.22 7444.19
FS396 73657 2876 7534.98 3.84 7370.95
  1. Several species diversity metrics and number of OTUs produced by LSH-Div algorithm on samples taken from Sogin et. al. [27]. The experiment uses three OTU definitions 0.03, 0.05, and 0.10 which define the cutoff levels in distance units. OTU denotes the number of OTUs observed, Chao1 denotes the Chao1 estimate, H´ denotes the Shannon diversity index and ACE denotes the Abundance-based Coverage Estimator. The parameter setting used by LSH-Div algorithm to obtain these results is k = 30, w-mer = 3.