CompaRNA - on-line benchmarks of RNA structure prediction methods

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Metric	HotKnots		Multilign(20)
MCC	0.699	>	0.652
Average MCC ± 95% Confidence Intervals	0.720 ± 0.142	>	0.638 ± 0.177
Sensitivity	0.707	>	0.624
Positive Predictive Value	0.701	>	0.692
Total TP	265	>	234
Total TN	24613	<	24653
Total FP	148	>	131
Total FP CONTRA	28	>	23
Total FP INCONS	85	>	81
Total FP COMP	35	>	27
Total FN	110	<	141
P-value	2.41358941668e-08

Comparison of performance of HotKnots and Multilign(20). 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 HotKnots and Multilign(20)).
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 HotKnots and Multilign(20)).
Comparison of average Matthews Correlation Coefficients (MCCs) for HotKnots and Multilign(20). 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 HotKnots and Multilign(20)).

Total Scores
MCC	0.699
Average MCC ± 95% Confidence Intervals	0.720 ± 0.142
Sensitivity	0.707
Positive Predictive Value	0.701
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...	1.00	1.00	1.00	18	339	1	0	0	1	0
2XXA_G	Bacteria_small_SRP links to Rfam database...	0.35	0.34	0.38	12	2013	21	1	19	1	23
3AMU_B	tRNA links to Rfam database...	0.81	0.79	0.83	15	1139	6	0	3	3	4
3J20_0	tRNA links to Rfam database...	0.54	0.57	0.52	12	1196	12	3	8	1	9
3J20_1	tRNA links to Rfam database...	0.75	0.75	0.75	15	1092	8	0	5	3	5
3J2L_3	5S_rRNA links to Rfam database...	0.80	0.82	0.78	28	2984	12	1	7	4	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...	0.77	0.76	0.79	22	1505	6	4	2	0	7
3ZEX_D	5S_rRNA links to Rfam database...	0.90	0.86	0.94	30	2764	6	0	2	4	5
4A1C_3	5S_rRNA links to Rfam database...	0.88	0.86	0.89	32	2727	7	0	4	3	5
4A1C_2	5_8S_rRNA links to Rfam database...	0.19	0.25	0.15	5	4483	42	12	16	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...	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
4FRG_B	AdoCbl-variant links to Rfam database...	0.36	0.38	0.38	9	1178	15	2	13	0	15

Total Scores
MCC	0.652
Average MCC ± 95% Confidence Intervals	0.638 ± 0.177
Sensitivity	0.624
Positive Predictive Value	0.692
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...	1.00	1.00	1.00	18	339	1	0	0	1	0
2XXA_G	Bacteria_small_SRP links to Rfam database...	-0.01	0.00	0.00	0	2033	12	2	10	0	35
3AMU_B	tRNA links to Rfam database...	0.71	0.74	0.70	14	1137	9	0	6	3	5
3J20_0	tRNA links to Rfam database...	0.68	0.71	0.65	15	1196	9	2	6	1	6
3J20_1	tRNA links to Rfam database...	1.00	1.00	1.00	20	1092	1	0	0	1	0
3J2L_3	5S_rRNA links to Rfam database...	0.80	0.79	0.82	27	2987	10	0	6	4	7
3RKF_A	Purine links to Rfam database...	0.91	0.88	0.95	21	844	1	0	1	0	3
3SD1_A	THF links to Rfam database...	0.68	0.69	0.69	20	1504	9	4	5	0	9
3ZEX_D	5S_rRNA links to Rfam database...	0.88	0.83	0.94	29	2765	8	0	2	6	6
4A1C_3	5S_rRNA links to Rfam database...	0.88	0.86	0.89	32	2727	6	0	4	2	5
4A1C_2	5_8S_rRNA links to Rfam database...	0.20	0.25	0.16	5	4485	33	9	17	7	15
4AOB_A	SAM links to Rfam database...	0.59	0.55	0.64	16	1412	10	3	6	1	13
4ENB_A	crcB links to Rfam database...	0.39	0.33	0.50	5	462	6	0	5	1	10
4ENC_A	crcB links to Rfam database...	0.73	0.60	0.90	9	486	1	1	0	0	6
4FRG_B	AdoCbl-variant links to Rfam database...	0.13	0.13	0.17	3	1184	15	2	13	0	21

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