CompaRNA - on-line benchmarks of RNA structure prediction methods

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Metric	PETfold_2.0(20)		RNAshapes
MCC	0.647	>	0.199
Average MCC ± 95% Confidence Intervals	0.647 ±	>	0.199 ±
Sensitivity	0.509	>	0.158
Positive Predictive Value	0.829	>	0.265
Total TP	29	>	9
Total TN	6986	<	6987
Total FP	6	<	25
Total FP CONTRA	1	>	0
Total FP INCONS	5	<	25
Total FP COMP	0	=	0
Total FN	28	<	48
P-value	0.0

Comparison of performance of PETfold_2.0(20) and RNAshapes. Positive Predictive Value (PPV) is plotted against sensitivity. Each dot represents a single test of each method. See tables below for raw data (individual counts for PETfold_2.0(20) and RNAshapes).
Comparison of average Matthews Correlation Coefficients (MCCs) for PETfold_2.0(20) and RNAshapes. The whiskers correspond to 95% confidence intervals (CIs). 'n' denotes the number of MCCs used to calculate average MCCs and CIs. See tables below for raw data (individual counts for PETfold_2.0(20) and RNAshapes).

Total Scores
MCC	0.647
Average MCC ± 95% Confidence Intervals	0.647 ±
Sensitivity	0.509
Positive Predictive Value	0.829
Nr of predictions	1

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
3J3V_B	5S_rRNA links to Rfam database...	0.65	0.51	0.83	29	6986	6	1	5	0	28

Total Scores
MCC	0.199
Average MCC ± 95% Confidence Intervals	0.199 ±
Sensitivity	0.158
Positive Predictive Value	0.265
Nr of predictions	1

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
3J3V_B	5S_rRNA links to Rfam database...	0.20	0.16	0.26	9	6987	25	0	25	0	48

Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.