CompaRNA - on-line benchmarks of RNA structure prediction methods

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Metric	RNAalifold(20)		McQFold
MCC	0.753	>	0.644
Average MCC ± 95% Confidence Intervals	0.747 ± 0.122	>	0.682 ± 0.181
Sensitivity	0.656	>	0.643
Positive Predictive Value	0.869	>	0.650
Total TP	298	>	292
Total TN	51920	>	51814
Total FP	66	<	182
Total FP CONTRA	18	<	55
Total FP INCONS	27	<	102
Total FP COMP	21	<	25
Total FN	156	<	162
P-value	2.48055519165e-08

Comparison of performance of RNAalifold(20) and McQFold. 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 RNAalifold(20) and McQFold).
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 RNAalifold(20) and McQFold).
Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(20) and McQFold. 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 RNAalifold(20) and McQFold).

Total Scores
MCC	0.753
Average MCC ± 95% Confidence Intervals	0.747 ± 0.122
Sensitivity	0.656
Positive Predictive Value	0.869
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	0.78	0.95	18	884	1	1	0	0	5
3IZ4_A	tmRNA links to Rfam database...	0.65	0.48	0.87	46	25483	15	4	3	8	49
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	0.76	1.00	19	935	0	0	0	0	6
3NPB_A	SAM links to Rfam database...	0.75	0.57	1.00	21	2257	4	0	0	4	16
3O58_3	5_8S_rRNA links to Rfam database...	0.42	0.36	0.50	8	4748	9	3	5	1	14
3PDR_A	ykoK links to Rfam database...	0.92	0.88	0.96	44	4794	3	1	1	1	6
3RKF_A	Purine links to Rfam database...	0.81	0.71	0.94	17	848	1	0	1	0	7
3SD1_A	THF links to Rfam database...	0.84	0.86	0.83	25	1503	5	4	1	0	4
4A1C_2	5_8S_rRNA links to Rfam database...	0.22	0.25	0.19	5	4490	23	5	16	2	15
4AOB_A	SAM links to Rfam database...	0.85	0.72	1.00	21	1416	2	0	0	2	8
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...	0.63	0.40	1.00	6	490	0	0	0	0	9

Total Scores
MCC	0.644
Average MCC ± 95% Confidence Intervals	0.682 ± 0.181
Sensitivity	0.643
Positive Predictive Value	0.650
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...	0.56	0.57	0.57	16	1421	13	4	8	1	12
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...	0.46	0.46	0.47	44	25442	56	14	36	6	51
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
3NPB_A	SAM links to Rfam database...	0.90	0.81	1.00	30	2248	5	0	0	5	7
3O58_3	5_8S_rRNA links to Rfam database...	0.30	0.36	0.25	8	4732	27	15	9	3	14
3PDR_A	ykoK links to Rfam database...	0.83	0.80	0.87	40	4794	9	2	4	3	10
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...	0.82	0.83	0.83	24	1504	5	1	4	0	5
4A1C_2	5_8S_rRNA links to Rfam database...	0.19	0.25	0.16	5	4484	33	11	16	6	15
4AOB_A	SAM links to Rfam database...	0.50	0.48	0.54	14	1411	13	3	9	1	15
4ENB_A	crcB links to Rfam database...	1.00	1.00	1.00	15	457	0	0	0	0	0
4ENC_A	crcB links to Rfam database...	0.97	1.00	0.94	15	480	1	1	0	0	0

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