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Table 2 Eleven thousand eight hundred fifteen (dataset C) and 43,578 (dataset D) mixed bacterial transcripts. STAble shown the best sensitivity while producing the lowest false positive ratio alongside with Trinity. Due to absence of alternative splicing in bacterial transcriptome it is not possible to produce FPA class errors. With the larger dataset it is not possible to compare results with existing assemblers as they terminated with an out of memory error

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 C
 Assembler # of results # of FP 100% 70% S100 S70 FPR
 STAble 13,985 983 10,007 10,263 85% 87% 7%
 Bridger 5873 253 8510 9075 72% 77% 4%
 Oases 5579 268 6687 8603 57% 73% 5%
 Trinity 7597 145 9136 9565 77% 81% 2%
Dataset D
 Assembler # of results # of FP 100% 70% S100 S70 FPR
 STAble 134,110 1040 20,800 35,424 48% 81% 0.8%
  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