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. 2018 Nov 6;19:406. doi: 10.1186/s12859-018-2432-7

Table 5.

Simulated high coverage datasets analysis where the inputs of EIM pipeline are the read set and genome reconstructed by Bowtie2

Assembly Exact EIM (v2) Bowtie2
ReadSet1
Contigs-500 68 2 6
N50 (kbp) 156.4 3543.3 2385.6
Errors 0 29 38
IUPAC-codes 0 11 137
Genome-Fraction (%) 99.381 99.999 100
ReadSet2
Contigs-500 142 3 5
N50 (kbp) 62.7 1371.6 939.1
Errors 0 45 92
IUPAC-codes 0 29 246
Genome-Fraction (%) 99.338 100 99.997
ReadSet3
Contigs-500 96 6 3
N50 (kbp) 94.4 1096.2 3267.7
Errors 2 54 87
IUPAC-codes 0 11 140
Genome-Fraction (%) 99.285 99.997 100
ReadSet4
Contigs-500 77 3 3
N50 (kbp) 115.5 2337.4 1530.2
Errors 6 55 72
IUPAC-codes 0 15 34
Genome-Fraction (%) 99.436 99.998 100

The evaluation metrics has been defined in the text. The columns headed ’Exact’, ’EIM (v2)’ and ’Bowtie2’ represent the contiguity and quality of contigs constructed by ExactMapping step of EIM, EIM (v2) and Bowtie2, respectively