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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