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Table 1 Results on 200 (Dataset A) and 6309 (Dataset B) random human transcripts. STAble returned the most reliable set of results showing a sensitivity comparable to other assemblers while producing only 3 false positives

From: STAble: a novel approach to de novo assembly of RNA-seq data and its application in a metabolic model network based metatranscriptomic workflow

Dataset A
 Assembler # of results # of FP FPA FPB 100% 70% S100 S70 FPR
 STAble 227 1 0 1 152 161 76% 81% 0.44%
 Bridger 210 58 30 28 143 148 72% 74% 28%
 Oases 321 106 89 17 159 165 80% 83% 33%
 Trinity 258 56 48 8 157 167 79% 84% 22%
Dataset B
 Assembler # of results # of FP FPA FPB 100% 70% S100 S70 FPR
 STAble 8906 2285 1053 1232 3295 4179 52% 66% 26%
 Bridger 5697 1820 945 875 2728 3315 43% 53% 32%
 Oases 16,895 5722 2835 2887 3550 4156 56% 66% 34%
 Trinity 8300 2543 2223 320 3603 4315 57% 68% 31%
  1. Assembler Name of the assembler, # of results Total number of reconstructed transcripts, # of FP Number of False Positive results, FPA False Positive class A, FPB False Positive class B, 100% Number of full reconstructed transcripts, 70% Number of transcripts reconstructed at 70%, S100 Percentage of full reconstructed transcripts, S70 Percentage of transcripts reconstructed at 70%, FPR False Positive Ratio