CompaRNA - on-line benchmarks of RNA structure prediction methods

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Metric	Murlet(20)		RDfolder
MCC	0.768	>	0.624
Average MCC ± 95% Confidence Intervals	0.740 ± 0.072	>	0.636 ± 0.198
Sensitivity	0.664	>	0.591
Positive Predictive Value	0.898	>	0.674
Total TP	211	>	188
Total TN	15898	>	15854
Total FP	46	<	110
Total FP CONTRA	5	<	24
Total FP INCONS	19	<	67
Total FP COMP	22	>	19
Total FN	107	<	130
P-value	2.94377603181e-08

Comparison of performance of Murlet(20) and RDfolder. 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 Murlet(20) and RDfolder).
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 Murlet(20) and RDfolder).
Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(20) and RDfolder. 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 Murlet(20) and RDfolder).

Total Scores
MCC	0.768
Average MCC ± 95% Confidence Intervals	0.740 ± 0.072
Sensitivity	0.664
Positive Predictive Value	0.898
Nr of predictions	16

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2KDQ_B	mir-TAR links to Rfam database...	0.70	0.50	1.00	5	169	0	0	0	0	5
2L94_A	HIV_FE links to Rfam database...	0.51	0.50	0.56	9	341	8	0	7	1	9
2WRQ_Y	tRNA links to Rfam database...	0.63	0.67	0.60	6	1142	13	1	3	9	3
2XKV_B	Bacteria_small_SRP links to Rfam database...	0.60	0.36	1.00	4	1831	3	0	0	3	7
2XQD_Y	tRNA links to Rfam database...	0.88	0.86	0.90	18	1109	3	0	2	1	3
3A2K_C	tRNA links to Rfam database...	0.88	0.86	0.90	19	1087	2	0	2	0	3
3AMU_B	tRNA links to Rfam database...	0.89	0.89	0.89	17	1138	4	0	2	2	2
3GX2_A	SAM links to Rfam database...	0.73	0.54	1.00	15	1434	1	0	0	1	13
3IVN_B	Purine links to Rfam database...	0.80	0.65	1.00	15	888	0	0	0	0	8
3JYV_7	tRNA links to Rfam database...	0.84	0.80	0.89	16	1093	4	0	2	2	4
3LA5_A	Purine links to Rfam database...	0.80	0.64	1.00	16	938	0	0	0	0	9
3RKF_A	Purine links to Rfam database...	0.81	0.67	1.00	16	850	0	0	0	0	8
3SD1_A	THF links to Rfam database...	0.82	0.83	0.83	24	1504	5	4	1	0	5
4AOB_A	SAM links to Rfam database...	0.87	0.76	1.00	22	1415	3	0	0	3	7
4ENB_A	crcB links to Rfam database...	0.51	0.27	1.00	4	468	0	0	0	0	11
4ENC_A	crcB links to Rfam database...	0.57	0.33	1.00	5	491	0	0	0	0	10

Total Scores
MCC	0.624
Average MCC ± 95% Confidence Intervals	0.636 ± 0.198
Sensitivity	0.591
Positive Predictive Value	0.674
Nr of predictions	16

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2KDQ_B	mir-TAR links to Rfam database...	1.00	1.00	1.00	10	164	0	0	0	0	0
2L94_A	HIV_FE links to Rfam database...	1.00	1.00	1.00	18	339	1	0	0	1	0
2WRQ_Y	tRNA links to Rfam database...	1.00	1.00	1.00	9	1143	13	0	0	13	0
2XKV_B	Bacteria_small_SRP links to Rfam database...	-0.01	0.00	0.00	0	1813	22	10	12	0	11
2XQD_Y	tRNA links to Rfam database...	0.98	0.95	1.00	20	1109	1	0	0	1	1
3A2K_C	tRNA links to Rfam database...	0.98	0.95	1.00	21	1087	0	0	0	0	1
3AMU_B	tRNA links to Rfam database...	0.20	0.21	0.22	4	1139	16	4	10	2	15
3GX2_A	SAM links to Rfam database...	0.60	0.57	0.64	16	1424	10	2	7	1	12
3IVN_B	Purine links to Rfam database...	0.91	0.83	1.00	19	884	0	0	0	0	4
3JYV_7	tRNA links to Rfam database...	-0.02	0.00	0.00	0	1091	20	4	16	0	20
3LA5_A	Purine links to Rfam database...	0.91	0.84	1.00	21	933	0	0	0	0	4
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...	0.35	0.24	0.54	7	1520	6	1	5	0	22
4AOB_A	SAM links to Rfam database...	0.42	0.38	0.48	11	1414	13	3	9	1	18
4ENB_A	crcB links to Rfam database...	0.48	0.40	0.60	6	462	4	0	4	0	9
4ENC_A	crcB links to Rfam database...	0.48	0.40	0.60	6	486	4	0	4	0	9

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