CompaRNA - on-line benchmarks of RNA structure prediction methods

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Metric	CentroidFold		TurboFold(seed)
MCC	0.665	>	0.653
Average MCC ± 95% Confidence Intervals	0.660 ± 0.152	>	0.639 ± 0.168
Sensitivity	0.638	<	0.641
Positive Predictive Value	0.700	>	0.674
Total TP	224	<	225
Total TN	30133	>	30119
Total FP	133	<	156
Total FP CONTRA	36	=	36
Total FP INCONS	60	<	73
Total FP COMP	37	<	47
Total FN	127	>	126
P-value	1.48358879813e-06

Comparison of performance of CentroidFold and TurboFold(seed). 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 CentroidFold and TurboFold(seed)).
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 CentroidFold and TurboFold(seed)).
Comparison of average Matthews Correlation Coefficients (MCCs) for CentroidFold and TurboFold(seed). 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 CentroidFold and TurboFold(seed)).

Total Scores
MCC	0.665
Average MCC ± 95% Confidence Intervals	0.660 ± 0.152
Sensitivity	0.638
Positive Predictive Value	0.700
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...	0.94	0.94	0.94	17	339	2	0	1	1	1
2LC8_A	GP_knot1 links to Rfam database...	0.51	0.39	0.70	7	518	3	1	2	0	11
3J3E_8	5_8S_rRNA links to Rfam database...	0.12	0.13	0.13	2	2726	22	4	10	8	13
3J3F_8	5_8S_rRNA links to Rfam database...	0.36	0.47	0.28	9	4729	37	12	11	14	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...	0.70	0.69	0.71	20	1505	8	4	4	0	9
3W1K_J	tRNA-Sec links to Rfam database...	0.97	0.97	0.97	30	1647	1	1	0	0	1
3ZEX_C	5_8S_rRNA links to Rfam database...	0.48	0.34	0.67	10	5359	6	1	4	1	19
4A1C_3	5S_rRNA links to Rfam database...	0.80	0.78	0.83	29	2728	8	0	6	2	8
4A1C_2	5_8S_rRNA links to Rfam database...	0.22	0.25	0.19	5	4490	29	9	12	8	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...	0.85	0.73	1.00	11	461	1	0	0	1	4
4ENC_A	crcB links to Rfam database...	0.85	0.73	1.00	11	485	1	0	0	1	4
4FRN_A	AdoCbl-variant links to Rfam database...	0.80	0.71	0.91	20	1826	2	1	1	0	8
4JF2_A	preQ1-II links to Rfam database...	0.89	0.79	1.00	19	1063	0	0	0	0	5

Total Scores
MCC	0.653
Average MCC ± 95% Confidence Intervals	0.639 ± 0.168
Sensitivity	0.641
Positive Predictive Value	0.674
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...	0.94	0.94	0.94	17	339	2	0	1	1	1
2LC8_A	GP_knot1 links to Rfam database...	-0.03	0.00	0.00	0	513	15	3	12	0	18
3J3E_8	5_8S_rRNA links to Rfam database...	0.27	0.33	0.23	5	2720	28	6	11	11	10
3J3F_8	5_8S_rRNA links to Rfam database...	0.42	0.53	0.34	10	4732	35	9	10	16	9
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...	0.71	0.69	0.74	20	1506	7	2	5	0	9
3W1K_J	tRNA-Sec links to Rfam database...	0.97	0.97	0.97	30	1647	1	1	0	0	1
3ZEX_C	5_8S_rRNA links to Rfam database...	0.49	0.45	0.54	13	5350	15	2	9	4	16
4A1C_3	5S_rRNA links to Rfam database...	0.86	0.84	0.89	31	2728	6	0	4	2	6
4A1C_2	5_8S_rRNA links to Rfam database...	0.20	0.25	0.17	5	4486	37	9	16	12	15
4AOB_A	SAM links to Rfam database...	0.67	0.59	0.77	17	1415	6	2	3	1	12
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...	0.73	0.60	0.90	9	486	1	1	0	0	6
4FRN_A	AdoCbl-variant links to Rfam database...	0.79	0.71	0.87	20	1825	3	1	2	0	8
4JF2_A	preQ1-II links to Rfam database...	0.89	0.79	1.00	19	1063	0	0	0	0	5

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