CompaRNA - on-line benchmarks of RNA structure prediction methods

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Metric	CentroidAlifold(20)		MaxExpect
MCC	0.803	>	0.674
Average MCC ± 95% Confidence Intervals	0.799 ± 0.092	>	0.667 ± 0.135
Sensitivity	0.694	>	0.670
Positive Predictive Value	0.932	>	0.683
Total TP	315	>	304
Total TN	51925	>	51818
Total FP	39	<	185
Total FP CONTRA	16	<	47
Total FP INCONS	7	<	94
Total FP COMP	16	<	44
Total FN	139	<	150
P-value	2.48055519165e-08

Comparison of performance of CentroidAlifold(20) and MaxExpect. 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(20) and MaxExpect).
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(20) and MaxExpect).
Comparison of average Matthews Correlation Coefficients (MCCs) for CentroidAlifold(20) and MaxExpect. 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(20) and MaxExpect).

Total Scores
MCC	0.803
Average MCC ± 95% Confidence Intervals	0.799 ± 0.092
Sensitivity	0.694
Positive Predictive Value	0.932
Nr of predictions	15

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
3A2K_C	tRNA links to Rfam database...	0.98	0.95	1.00	21	1087	0	0	0	0	1
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
3IZ4_A	tmRNA links to Rfam database...	0.67	0.52	0.88	49	25480	9	7	0	2	46
3JYV_7	tRNA links to Rfam database...	0.97	0.95	1.00	19	1092	2	0	0	2	1
3LA5_A	Purine links to Rfam database...	0.87	0.80	0.95	20	933	1	1	0	0	5
3NPB_A	SAM links to Rfam database...	0.77	0.65	0.92	24	2252	6	1	1	4	13
3O58_3	5_8S_rRNA links to Rfam database...	0.64	0.45	0.91	10	4753	2	1	0	1	12
3PDR_A	ykoK links to Rfam database...	0.92	0.90	0.94	45	4792	5	1	2	2	5
3RKF_A	Purine links to Rfam database...	0.86	0.75	1.00	18	848	0	0	0	0	6
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...	0.33	0.25	0.45	5	4505	8	3	3	2	15
4AOB_A	SAM links to Rfam database...	0.89	0.79	1.00	23	1414	2	0	0	2	6
4ENB_A	crcB links to Rfam database...	0.77	0.60	1.00	9	463	0	0	0	0	6
4ENC_A	crcB links to Rfam database...	0.68	0.47	1.00	7	489	0	0	0	0	8

Total Scores
MCC	0.674
Average MCC ± 95% Confidence Intervals	0.667 ± 0.135
Sensitivity	0.670
Positive Predictive Value	0.683
Nr of predictions	15

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
3A2K_C	tRNA links to Rfam database...	0.47	0.50	0.46	11	1084	13	3	10	0	11
3GX2_A	SAM links to Rfam database...	0.93	0.89	0.96	25	1423	2	1	0	1	3
3IVN_B	Purine links to Rfam database...	0.91	0.83	1.00	19	884	0	0	0	0	4
3IZ4_A	tmRNA links to Rfam database...	0.61	0.61	0.62	58	25442	42	14	22	6	37
3JYV_7	tRNA links to Rfam database...	0.48	0.45	0.53	9	1094	9	3	5	1	11
3LA5_A	Purine links to Rfam database...	0.91	0.84	1.00	21	933	0	0	0	0	4
3NPB_A	SAM links to Rfam database...	0.77	0.73	0.82	27	2245	10	0	6	4	10
3O58_3	5_8S_rRNA links to Rfam database...	0.40	0.50	0.33	11	4731	36	8	14	14	11
3PDR_A	ykoK links to Rfam database...	0.92	0.90	0.94	45	4792	5	1	2	2	5
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...	0.70	0.69	0.71	20	1505	8	3	5	0	9
4A1C_2	5_8S_rRNA links to Rfam database...	0.19	0.25	0.16	5	4484	41	10	17	14	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...	0.85	0.73	1.00	11	461	0	0	0	0	4
4ENC_A	crcB links to Rfam database...	0.36	0.33	0.42	5	484	8	0	7	1	10

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