Analysis of energy-based algorithms for RNA secondary structure prediction

BMC Bioinformatics

Table 1 Overview of the different RNA classes in MT and MA data sets

RNA class	No. in MT	mean ± std of length	Avg. similarity	No. in MA	mean ± std of length	Avg. similarity
16S Ribosomal RNA	89	377.88 ± 167.18	0.60	675	485.66 ± 113.02	0.62
23S Ribosomal RNA	27	460.6 ± 151.3	0.53	159	453.44 ± 117.85	0.57
5S Ribosomal RNA	309	119.5 ± 2.69	0.88	128	120.98 ±3.21	0.88
Group I intron	16	344.88 ± 66.42	0.63	89	368.49 ±103.58	0.63
Group II intron	3	668.7 ± 70.92	0.70	2	578 ± 47	0.72
Ribonuclease P RNA	6	382.5 ± 41.66	0.74	399	332.78 ±52.34	0.72
Signal Recognition RNA	91	267.95 ± 61.72	0.71	364	227.04 ± 109.53	0.65
Transfer RNA	484	77.48 ± 4.8	0.96	489	77.19 ± 5.13	0.95
Total	1024			2305

Overview of different RNA classes in the MT and MA data sets, including the number of RNAs, the mean and standard deviation of the length and the average normalized similarity between RNA sequences in these two data sets for each RNA class.

ISSN: 1471-2105