FN-Identify: Novel Restriction Enzymes-Based Method for Bacterial Identification in Absence of Genome Sequencing

Table 4

Summary of the employed training and testing datasets and FN-Identify performance.

Bacterial group	Gram^1	Members	16S rRNA					HSP60
			Unique sequences^2	Required enzymes		Max.-Min. Enzymes/species^3		Unique sequences^2	Required enzymes		Max.-Min. Enzymes/species^3
				1 factor	2 factors	1 factor	2 factors		1 factor	2 factors	1 factor	2 factors
Training set
Lactobacillus	P.	33	24	6	5	6-6	5-3	23	6	5	4-1	3-1
Testing sets
Pseudomonas	N.	33	32	8	6	8-7	7-4	—	—	—	—	—
Mycobacterium	P.	22	18	7	4	7-5	4-3	—	—	—	—	—

 ¹P: positive and N: negative.
²Members with differences in 16S rRNA sequences. In some cases two or more members have 100% similarity in 16S rRNA sequences. Those members are considered as one entry to FN-Identify.
³The maximum and minimum number of enzymes required identifying a given member of the group.