CompaRNA - on-line benchmarks of RNA structure prediction methods

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Metric	Multilign(20)		ProbKnot
MCC	0.652	>	0.646
Average MCC ± 95% Confidence Intervals	0.638 ± 0.177	<	0.658 ± 0.136
Sensitivity	0.624	<	0.659
Positive Predictive Value	0.692	>	0.645
Total TP	234	<	247
Total TN	24653	>	24608
Total FP	131	<	176
Total FP CONTRA	23	<	36
Total FP INCONS	81	<	100
Total FP COMP	27	<	40
Total FN	141	>	128
P-value	1.0194307659e-06

Comparison of performance of Multilign(20) and ProbKnot. 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 Multilign(20) and ProbKnot).
Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for Multilign(20) and ProbKnot).
Comparison of average Matthews Correlation Coefficients (MCCs) for Multilign(20) and ProbKnot. 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 Multilign(20) and ProbKnot).

Total Scores
MCC	0.652
Average MCC ± 95% Confidence Intervals	0.638 ± 0.177
Sensitivity	0.624
Positive Predictive Value	0.692
Nr of predictions	15

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2L94_A	HIV_FE links to Rfam database...	1.00	1.00	1.00	18	339	1	0	0	1	0
2XXA_G	Bacteria_small_SRP links to Rfam database...	-0.01	0.00	0.00	0	2033	12	2	10	0	35
3AMU_B	tRNA links to Rfam database...	0.71	0.74	0.70	14	1137	9	0	6	3	5
3J20_0	tRNA links to Rfam database...	0.68	0.71	0.65	15	1196	9	2	6	1	6
3J20_1	tRNA links to Rfam database...	1.00	1.00	1.00	20	1092	1	0	0	1	0
3J2L_3	5S_rRNA links to Rfam database...	0.80	0.79	0.82	27	2987	10	0	6	4	7
3RKF_A	Purine links to Rfam database...	0.91	0.88	0.95	21	844	1	0	1	0	3
3SD1_A	THF links to Rfam database...	0.68	0.69	0.69	20	1504	9	4	5	0	9
3ZEX_D	5S_rRNA links to Rfam database...	0.88	0.83	0.94	29	2765	8	0	2	6	6
4A1C_3	5S_rRNA links to Rfam database...	0.88	0.86	0.89	32	2727	6	0	4	2	5
4A1C_2	5_8S_rRNA links to Rfam database...	0.20	0.25	0.16	5	4485	33	9	17	7	15
4AOB_A	SAM links to Rfam database...	0.59	0.55	0.64	16	1412	10	3	6	1	13
4ENB_A	crcB links to Rfam database...	0.39	0.33	0.50	5	462	6	0	5	1	10
4ENC_A	crcB links to Rfam database...	0.73	0.60	0.90	9	486	1	1	0	0	6
4FRG_B	AdoCbl-variant links to Rfam database...	0.13	0.13	0.17	3	1184	15	2	13	0	21

Total Scores
MCC	0.646
Average MCC ± 95% Confidence Intervals	0.658 ± 0.136
Sensitivity	0.659
Positive Predictive Value	0.645
Nr of predictions	15

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2L94_A	HIV_FE links to Rfam database...	1.00	1.00	1.00	18	339	1	0	0	1	0
2XXA_G	Bacteria_small_SRP links to Rfam database...	0.25	0.26	0.26	9	2011	26	1	24	1	26
3AMU_B	tRNA links to Rfam database...	0.77	0.79	0.75	15	1137	9	0	5	4	4
3J20_0	tRNA links to Rfam database...	0.54	0.57	0.52	12	1196	12	3	8	1	9
3J20_1	tRNA links to Rfam database...	0.75	0.75	0.75	15	1092	8	0	5	3	5
3J2L_3	5S_rRNA links to Rfam database...	0.79	0.76	0.81	26	2988	11	0	6	5	8
3RKF_A	Purine links to Rfam database...	0.87	0.83	0.91	20	844	2	2	0	0	4
3SD1_A	THF links to Rfam database...	0.66	0.69	0.65	20	1502	11	6	5	0	9
3ZEX_D	5S_rRNA links to Rfam database...	0.90	0.86	0.94	30	2764	7	0	2	5	5
4A1C_3	5S_rRNA links to Rfam database...	0.88	0.86	0.89	32	2727	7	0	4	3	5
4A1C_2	5_8S_rRNA links to Rfam database...	0.17	0.25	0.13	5	4477	49	13	21	15	15
4AOB_A	SAM links to Rfam database...	0.60	0.59	0.63	17	1410	11	4	6	1	12
4ENB_A	crcB links to Rfam database...	0.81	0.73	0.92	11	460	1	1	0	0	4
4ENC_A	crcB links to Rfam database...	0.52	0.53	0.53	8	481	8	0	7	1	7
4FRG_B	AdoCbl-variant links to Rfam database...	0.38	0.38	0.41	9	1180	13	6	7	0	15

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