CompaRNA - on-line benchmarks of RNA structure prediction methods

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Metric	RNASampler(seed)		RNAwolf
MCC	0.655	>	0.438
Average MCC ± 95% Confidence Intervals	0.639 ± 0.088	>	0.454 ± 0.076
Sensitivity	0.572	>	0.407
Positive Predictive Value	0.755	>	0.479
Total TP	163	>	116
Total TN	37502	>	37476
Total FP	56	<	148
Total FP CONTRA	20	=	20
Total FP INCONS	33	<	106
Total FP COMP	3	<	22
Total FN	122	<	169
P-value	1.70887622364e-08

Comparison of performance of RNASampler(seed) and RNAwolf. 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 RNASampler(seed) and RNAwolf).
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 RNASampler(seed) and RNAwolf).
Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(seed) and RNAwolf. 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 RNASampler(seed) and RNAwolf).

Total Scores
MCC	0.655
Average MCC ± 95% Confidence Intervals	0.639 ± 0.088
Sensitivity	0.572
Positive Predictive Value	0.755
Nr of predictions	13

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
PDB_00005	Tymo_tRNA-like links to Rfam database...	0.88	0.79	1.00	11	935	0	0	0	0	3
PDB_00716	HDV_ribozyme links to Rfam database...	0.50	0.39	0.64	9	2687	6	0	5	1	14
PDB_01092	glmS links to Rfam database...	0.72	0.62	0.84	32	10115	8	0	6	2	20
RFA_00632	HDV_ribozyme links to Rfam database...	0.78	0.68	0.90	19	4074	2	1	1	0	9
RFA_00636	HDV_ribozyme links to Rfam database...	0.85	0.75	0.95	21	3983	1	1	0	0	7
RFA_00767	Corona_pk3 links to Rfam database...	0.65	0.56	0.77	10	1878	3	3	0	0	8
RFA_00768	Corona_pk3 links to Rfam database...	0.65	0.56	0.77	10	1878	3	3	0	0	8
RFA_00769	Corona_pk3 links to Rfam database...	0.59	0.56	0.63	10	1937	6	1	5	0	8
RFA_00770	Corona_pk3 links to Rfam database...	0.52	0.39	0.70	7	2006	3	3	0	0	11
RFA_00773	Corona_pk3 links to Rfam database...	0.59	0.50	0.69	9	1940	4	4	0	0	9
RFA_00779	Corona_pk3 links to Rfam database...	0.65	0.56	0.77	10	1940	3	3	0	0	8
RFA_00808	RydC links to Rfam database...	0.58	0.56	0.60	9	2001	6	0	6	0	7
RFA_00809	RydC links to Rfam database...	0.36	0.38	0.35	6	2128	11	1	10	0	10

Total Scores
MCC	0.438
Average MCC ± 95% Confidence Intervals	0.454 ± 0.076
Sensitivity	0.407
Positive Predictive Value	0.479
Nr of predictions	13

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
PDB_00005	Tymo_tRNA-like links to Rfam database...	0.42	0.36	0.50	5	936	6	0	5	1	9
PDB_00716	HDV_ribozyme links to Rfam database...	0.68	0.57	0.81	13	2685	3	0	3	0	10
PDB_01092	glmS links to Rfam database...	0.43	0.38	0.49	20	10112	23	2	19	2	32
RFA_00632	HDV_ribozyme links to Rfam database...	0.25	0.25	0.27	7	4069	22	1	18	3	21
RFA_00636	HDV_ribozyme links to Rfam database...	0.40	0.39	0.41	11	3978	19	1	15	3	17
RFA_00767	Corona_pk3 links to Rfam database...	0.48	0.44	0.53	8	1876	8	1	6	1	10
RFA_00768	Corona_pk3 links to Rfam database...	0.50	0.44	0.57	8	1877	8	1	5	2	10
RFA_00769	Corona_pk3 links to Rfam database...	0.41	0.44	0.38	8	1932	13	3	10	0	10
RFA_00770	Corona_pk3 links to Rfam database...	0.51	0.50	0.53	9	1999	12	2	6	4	9
RFA_00773	Corona_pk3 links to Rfam database...	0.42	0.39	0.47	7	1938	12	1	7	4	11
RFA_00779	Corona_pk3 links to Rfam database...	0.26	0.28	0.26	5	1934	14	6	8	0	13
RFA_00808	RydC links to Rfam database...	0.68	0.56	0.82	9	2005	2	2	0	0	7
RFA_00809	RydC links to Rfam database...	0.47	0.38	0.60	6	2135	6	0	4	2	10

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