miReader is a novel and accurate algorithm to identify mature miRNAs from reads data without the need of genomic sequences.

Abbreviations:

TP=True Positive

TN= True Negative

FP=False Positive

FN= False Negative

Sn=Sensitivity

Sp=Specificity

MCC=Matthew Correlation Coefficient

	C elegans	Drosophila	Homo sapiens (Illumina)	Homo sapiens (Roche)	Arabidopsis	Oryza
TP	95	93	451	460	100	250
FN	2	6	49	40	0	0
TN	95	92	462	467	100	250
FP	2	7	38	33	0	0
Sn	97.64	93.25	90.2	92.0	100	100
Sp	97.64	92.13	92.4	93.4	100	100
MCC	0.8971	0.8511	0.8941	0.9120	1.0	1.0
ACU	0.9868	0.9558	0.9753	0.9821	1.0	1.0

ROC/AUC Curve of miReader classifier (with and without multiboosting)

Impact of concurrency