CompaRNA - on-line benchmarks of RNA structure prediction methods

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Metric	CentroidAlifold(seed)		MCFold
MCC	0.778	>	0.551
Average MCC ± 95% Confidence Intervals	0.703 ± 0.140	>	0.534 ± 0.134
Sensitivity	0.628	>	0.587
Positive Predictive Value	0.970	>	0.530
Total TP	228	>	213
Total TN	25789	>	25622
Total FP	14	<	229
Total FP CONTRA	5	<	52
Total FP INCONS	2	<	137
Total FP COMP	7	<	40
Total FN	135	<	150
P-value	2.71568867205e-08

Comparison of performance of CentroidAlifold(seed) and MCFold. 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 CentroidAlifold(seed) and MCFold).
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 CentroidAlifold(seed) and MCFold).
Comparison of average Matthews Correlation Coefficients (MCCs) for CentroidAlifold(seed) and MCFold. 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 CentroidAlifold(seed) and MCFold).

Total Scores
MCC	0.778
Average MCC ± 95% Confidence Intervals	0.703 ± 0.140
Sensitivity	0.628
Positive Predictive Value	0.970
Nr of predictions	15

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2LC8_A	GP_knot1 links to Rfam database...	0.00	0.00	0.00	0	528	0	0	0	0	18
2ZZN_D	tRNA links to Rfam database...	0.52	0.27	1.00	6	978	0	0	0	0	16
3A2K_C	tRNA links to Rfam database...	0.52	0.27	1.00	6	1102	0	0	0	0	16
3A3A_A	tRNA-Sec links to Rfam database...	0.95	0.90	1.00	27	1473	0	0	0	0	3
3GX2_A	SAM links to Rfam database...	0.92	0.86	1.00	24	1425	1	0	0	1	4
3IVN_B	Purine links to Rfam database...	0.86	0.83	0.90	19	882	2	2	0	0	4
3JYV_7	tRNA links to Rfam database...	0.50	0.25	1.00	5	1106	1	0	0	1	15
3LA5_A	Purine links to Rfam database...	0.87	0.80	0.95	20	933	1	1	0	0	5
3O58_3	5_8S_rRNA links to Rfam database...	0.68	0.50	0.92	11	4752	2	1	0	1	11
3PDR_A	ykoK links to Rfam database...	0.93	0.88	0.98	44	4795	3	0	1	2	6
3RKF_A	Purine links to Rfam database...	0.91	0.83	1.00	20	846	0	0	0	0	4
3SD1_A	THF links to Rfam database...	0.85	0.76	0.96	22	1510	1	0	1	0	7
4A1C_2	5_8S_rRNA links to Rfam database...	0.60	0.40	0.89	8	4507	3	1	0	2	12
4ENB_A	crcB links to Rfam database...	0.72	0.53	1.00	8	464	0	0	0	0	7
4ENC_A	crcB links to Rfam database...	0.73	0.53	1.00	8	488	0	0	0	0	7

Total Scores
MCC	0.551
Average MCC ± 95% Confidence Intervals	0.534 ± 0.134
Sensitivity	0.587
Positive Predictive Value	0.530
Nr of predictions	15

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2LC8_A	GP_knot1 links to Rfam database...	0.44	0.44	0.47	8	511	10	0	9	1	10
2ZZN_D	tRNA links to Rfam database...	0.69	0.73	0.67	16	960	11	1	7	3	6
3A2K_C	tRNA links to Rfam database...	0.49	0.55	0.46	12	1082	14	3	11	0	10
3A3A_A	tRNA-Sec links to Rfam database...	0.98	0.97	1.00	29	1471	0	0	0	0	1
3GX2_A	SAM links to Rfam database...	0.58	0.61	0.57	17	1419	15	1	12	2	11
3IVN_B	Purine links to Rfam database...	0.45	0.48	0.46	11	879	14	5	8	1	12
3JYV_7	tRNA links to Rfam database...	0.25	0.30	0.24	6	1086	20	8	11	1	14
3LA5_A	Purine links to Rfam database...	0.44	0.44	0.48	11	931	12	2	10	0	14
3O58_3	5_8S_rRNA links to Rfam database...	0.28	0.36	0.22	8	4727	39	14	15	10	14
3PDR_A	ykoK links to Rfam database...	0.78	0.80	0.77	40	4788	14	5	7	2	10
3RKF_A	Purine links to Rfam database...	0.89	0.88	0.91	21	843	3	0	2	1	3
3SD1_A	THF links to Rfam database...	0.43	0.45	0.43	13	1503	17	1	16	0	16
4A1C_2	5_8S_rRNA links to Rfam database...	0.18	0.25	0.14	5	4480	45	12	19	14	15
4ENB_A	crcB links to Rfam database...	0.78	0.73	0.85	11	459	4	0	2	2	4
4ENC_A	crcB links to Rfam database...	0.34	0.33	0.38	5	483	11	0	8	3	10

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