CompaRNA - on-line benchmarks of RNA structure prediction methods

Laboratory of Structural Bioinformatics @ Adam Mickiewicz University in Poznan

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Overview

Metric	TurboFold(seed)		Murlet(seed)
MCC	0.781	>	0.630
Average MCC ± 95% Confidence Intervals	0.771 ± 0.075	>	0.501 ± 0.103
Sensitivity	0.750	>	0.446
Positive Predictive Value	0.814	<	0.894
Total TP	1018	>	605
Total TN	572725	<	573298
Total FP	411	>	112
Total FP CONTRA	41	>	1
Total FP INCONS	191	>	71
Total FP COMP	179	>	40
Total FN	340	<	753
P-value	3.56938820447e-08

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Performance plots

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

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Performance of TurboFold(seed) - scored higher in this pairwise comparison

1. Total counts & total scores for TurboFold(seed)

Total Base Pair Counts
Total TP	1018
Total TN	572725
Total FP	411
Total FP CONTRA	41
Total FP INCONS	191
Total FP COMP	179
Total FN	340

Total Scores
MCC	0.781
Average MCC ± 95% Confidence Intervals	0.771 ± 0.075
Sensitivity	0.750
Positive Predictive Value	0.814
Nr of predictions	39

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2. Individual counts for TurboFold(seed) [ download as .csv ]

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
PDB_00012	mir-TAR links to Rfam database...	1.00	1.00	1.00	7	399	3	0	0	3	0
RFA_00390	Hammerhead_3 links to Rfam database...	1.00	1.00	1.00	15	1416	2	0	0	2	0
RFA_00416	Hammerhead_3 links to Rfam database...	1.00	1.00	1.00	15	1470	2	0	0	2	0
RFA_00433	Hammerhead_3 links to Rfam database...	1.00	1.00	1.00	15	1416	2	0	0	2	0
RFA_00587	Y_RNA links to Rfam database...	1.00	1.00	1.00	15	4836	11	0	0	11	0
RFA_00626	rne5 links to Rfam database...	0.90	0.85	0.95	74	56538	17	0	4	13	13
RFA_00627	rne5 links to Rfam database...	0.85	0.82	0.89	71	56873	23	0	9	14	16
RFA_00628	rne5 links to Rfam database...	0.92	0.90	0.95	77	57210	17	0	4	13	9
RFA_00630	rne5 links to Rfam database...	0.83	0.79	0.87	69	56874	22	0	10	12	18
RFA_00636	HDV_ribozyme links to Rfam database...	0.42	0.43	0.43	12	3977	16	2	14	0	16
RFA_00654	Vimentin3 links to Rfam database...	0.44	0.33	0.60	6	2405	5	1	3	1	12
RFA_00658	Hammerhead_1 links to Rfam database...	0.59	0.50	0.70	7	1118	5	0	3	2	7
RFA_00664	Hammerhead_1 links to Rfam database...	-0.01	0.00	0.00	0	980	11	0	10	1	14
RFA_00703	Hammerhead_1 links to Rfam database...	0.67	0.64	0.69	9	4265	18	1	3	14	5
RFA_00708	Hammerhead_1 links to Rfam database...	0.40	0.29	0.57	4	1028	3	0	3	0	10
RFA_00749	s2m links to Rfam database...	1.00	1.00	1.00	12	891	1	0	0	1	0
RFA_00764	s2m links to Rfam database...	1.00	1.00	1.00	12	891	1	0	0	1	0
RFA_00765	s2m links to Rfam database...	1.00	1.00	1.00	12	891	1	0	0	1	0
RFA_00767	Corona_pk3 links to Rfam database...	0.74	0.56	1.00	10	1881	0	0	0	0	8
RFA_00768	Corona_pk3 links to Rfam database...	0.74	0.56	1.00	10	1881	0	0	0	0	8
RFA_00769	Corona_pk3 links to Rfam database...	0.55	0.56	0.56	10	1935	8	3	5	0	8
RFA_00770	Corona_pk3 links to Rfam database...	0.68	0.56	0.83	10	2004	5	0	2	3	8
RFA_00773	Corona_pk3 links to Rfam database...	0.71	0.56	0.91	10	1942	2	1	0	1	8
RFA_00779	Corona_pk3 links to Rfam database...	0.71	0.56	0.91	10	1942	1	0	1	0	8
RFA_00808	RydC links to Rfam database...	0.75	0.56	1.00	9	2007	0	0	0	0	7
RFA_00809	RydC links to Rfam database...	0.38	0.38	0.40	6	2130	9	1	8	0	10
RFA_00814	R2_retro_el links to Rfam database...	0.92	0.85	1.00	35	25165	13	0	0	13	6
RFA_00816	R2_retro_el links to Rfam database...	1.00	1.00	1.00	41	23179	14	0	0	14	0
RFA_00817	R2_retro_el links to Rfam database...	0.95	0.90	1.00	37	21908	7	0	0	7	4
RFA_00818	R2_retro_el links to Rfam database...	0.85	0.80	0.89	33	20264	11	1	3	7	8
RFA_00819	R2_retro_el links to Rfam database...	0.98	0.95	1.00	39	27927	27	0	0	27	2
SRP_00137	Bacteria_small_SRP links to Rfam database...	0.75	0.84	0.68	21	4155	10	4	6	0	4
SRP_00146	Bacteria_small_SRP links to Rfam database...	0.93	0.94	0.92	34	5216	3	1	2	0	2
SRP_00241	Plant_SRP links to Rfam database...	0.56	0.59	0.54	48	45967	43	12	29	2	34
SRP_00285	Bacteria_small_SRP links to Rfam database...	0.95	0.93	0.97	28	3712	1	0	1	0	2
SRP_00328	Metazoa_SRP links to Rfam database...	0.69	0.67	0.70	57	39540	27	5	19	3	28
SRP_00329	Metazoa_SRP links to Rfam database...	0.65	0.64	0.67	54	39822	30	3	24	3	31
SRP_00338	Bacteria_small_SRP links to Rfam database...	0.94	0.94	0.94	34	5424	2	0	2	0	2
SRP_00340	Metazoa_SRP links to Rfam database...	0.61	0.61	0.61	50	41246	38	6	26	6	32

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Performance of Murlet(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for Murlet(seed)

Total Base Pair Counts
Total TP	605
Total TN	573298
Total FP	112
Total FP CONTRA	1
Total FP INCONS	71
Total FP COMP	40
Total FN	753

Total Scores
MCC	0.630
Average MCC ± 95% Confidence Intervals	0.501 ± 0.103
Sensitivity	0.446
Positive Predictive Value	0.894
Nr of predictions	39

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2. Individual counts for Murlet(seed) [ download as .csv ]

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
PDB_00012	mir-TAR links to Rfam database...	0.65	0.43	1.00	3	403	0	0	0	0	4
RFA_00390	Hammerhead_3 links to Rfam database...	0.00	0.00	0.00	0	1431	0	0	0	0	15
RFA_00416	Hammerhead_3 links to Rfam database...	0.00	0.00	0.00	0	1485	0	0	0	0	15
RFA_00433	Hammerhead_3 links to Rfam database...	0.00	0.00	0.00	0	1431	0	0	0	0	15
RFA_00587	Y_RNA links to Rfam database...	0.00	0.00	0.00	0	4851	0	0	0	0	15
RFA_00626	rne5 links to Rfam database...	0.81	0.66	1.00	57	56559	4	0	0	4	30
RFA_00627	rne5 links to Rfam database...	0.84	0.70	1.00	61	56892	5	0	0	5	26
RFA_00628	rne5 links to Rfam database...	0.83	0.69	1.00	59	57232	8	0	0	8	27
RFA_00630	rne5 links to Rfam database...	0.82	0.67	1.00	58	56895	4	0	0	4	29
RFA_00636	HDV_ribozyme links to Rfam database...	0.21	0.11	0.43	3	3998	4	0	4	0	25
RFA_00654	Vimentin3 links to Rfam database...	0.57	0.44	0.73	8	2404	3	0	3	0	10
RFA_00658	Hammerhead_1 links to Rfam database...	0.00	0.00	0.00	0	1128	0	0	0	0	14
RFA_00664	Hammerhead_1 links to Rfam database...	0.00	0.00	0.00	0	990	0	0	0	0	14
RFA_00703	Hammerhead_1 links to Rfam database...	0.00	0.00	0.00	0	4278	0	0	0	0	14
RFA_00708	Hammerhead_1 links to Rfam database...	0.00	0.00	0.00	0	1035	0	0	0	0	14
RFA_00749	s2m links to Rfam database...	1.00	1.00	1.00	12	891	0	0	0	0	0
RFA_00764	s2m links to Rfam database...	1.00	1.00	1.00	12	891	0	0	0	0	0
RFA_00765	s2m links to Rfam database...	1.00	1.00	1.00	12	891	0	0	0	0	0
RFA_00767	Corona_pk3 links to Rfam database...	0.47	0.33	0.67	6	1882	3	0	3	0	12
RFA_00768	Corona_pk3 links to Rfam database...	0.41	0.28	0.63	5	1883	3	0	3	0	13
RFA_00769	Corona_pk3 links to Rfam database...	0.57	0.44	0.73	8	1942	3	0	3	0	10
RFA_00770	Corona_pk3 links to Rfam database...	0.57	0.44	0.73	8	2005	3	0	3	0	10
RFA_00773	Corona_pk3 links to Rfam database...	0.41	0.28	0.63	5	1945	3	0	3	0	13
RFA_00779	Corona_pk3 links to Rfam database...	0.47	0.33	0.67	6	1944	3	0	3	0	12
RFA_00808	RydC links to Rfam database...	0.75	0.56	1.00	9	2007	0	0	0	0	7
RFA_00809	RydC links to Rfam database...	0.50	0.38	0.67	6	2136	3	0	3	0	10
RFA_00814	R2_retro_el links to Rfam database...	0.75	0.63	0.90	26	25171	4	0	3	1	15
RFA_00816	R2_retro_el links to Rfam database...	0.75	0.63	0.90	26	23191	4	0	3	1	15
RFA_00817	R2_retro_el links to Rfam database...	0.83	0.68	1.00	28	21917	1	0	0	1	13
RFA_00818	R2_retro_el links to Rfam database...	0.83	0.68	1.00	28	20273	1	0	0	1	13
RFA_00819	R2_retro_el links to Rfam database...	0.83	0.68	1.00	28	27938	0	0	0	0	13
SRP_00137	Bacteria_small_SRP links to Rfam database...	0.49	0.24	1.00	6	4180	0	0	0	0	19
SRP_00146	Bacteria_small_SRP links to Rfam database...	0.41	0.17	1.00	6	5247	0	0	0	0	30
SRP_00241	Plant_SRP links to Rfam database...	0.51	0.33	0.79	27	46022	9	0	7	2	55
SRP_00285	Bacteria_small_SRP links to Rfam database...	0.45	0.20	1.00	6	3735	0	0	0	0	24
SRP_00328	Metazoa_SRP links to Rfam database...	0.49	0.34	0.71	29	39580	16	1	11	4	56
SRP_00329	Metazoa_SRP links to Rfam database...	0.50	0.34	0.73	29	39863	16	0	11	5	56
SRP_00338	Bacteria_small_SRP links to Rfam database...	0.41	0.17	1.00	6	5454	0	0	0	0	30
SRP_00340	Metazoa_SRP links to Rfam database...	0.44	0.27	0.73	22	41298	12	0	8	4	60

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

Table of contents:

Overview

Performance plots

Performance of TurboFold(seed) - scored higher in this pairwise comparison

1. Total counts & total scores for TurboFold(seed)

2. Individual counts for TurboFold(seed) [ download as .csv ]

Performance of Murlet(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for Murlet(seed)

2. Individual counts for Murlet(seed) [ download as .csv ]