Mercurial > repos > rnateam > locarna_multiple

comparison test-data/tRNA_2.amprobs @ 4:6e20ad2c8752 draft default tip

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/rna_tools/locarna commit 94c141a71ef115279f1090f782b6f5cdeea9c277
author bgruening
date Mon, 19 Aug 2024 18:52:41 +0000
parents a5a2d3cefce1
children
comparison
equal deleted inserted replaced
3:7554c0df9139 4:6e20ad2c8752
1 64 69 54 59 0.079977 1 64 69 54 59 0.16319
2 63 70 53 60 0.0158884 2 63 70 53 60 0.0606329
3 63 71 53 61 0.0915855 3 63 71 53 61 0.145389
4 62 72 52 62 0.203921 4 62 72 52 62 0.25696
5 61 73 51 63 0.202155 5 61 73 51 63 0.240954
6 60 74 50 64 0.175676 6 60 74 50 64 0.210569
7 59 75 49 65 0.0815626 7 59 75 49 65 0.122694
8 39 44 33 38 0.0114647 8 58 75 49 65 0.0111403
9 39 46 33 37 0.0168669 9 39 44 33 38 0.0112145
10 38 47 33 38 0.0303705 10 39 46 33 38 0.0175249
11 37 48 32 39 0.0111801 11 38 47 33 38 0.0154611
12 37 48 31 39 0.0434528 12 38 47 32 39 0.0177592
13 36 42 34 38 0.0105213 13 38 47 31 39 0.0159878
14 36 42 33 37 0.0442772 14 37 42 33 37 0.0132158
15 36 42 33 38 0.0150469 15 37 42 33 38 0.0122008
16 36 49 30 40 0.0445378 16 37 48 32 39 0.0117682
17 35 40 33 37 0.0438048 17 37 48 31 39 0.0219232
18 35 40 33 38 0.0131652 18 37 48 30 40 0.0159226
19 35 43 33 37 0.0482007 19 36 42 33 37 0.0478677
20 35 43 33 38 0.0524118 20 36 42 33 38 0.032832
21 35 43 32 39 0.0124841 21 36 49 30 40 0.0232814
22 35 44 33 38 0.0456243 22 36 49 29 41 0.0136757
23 35 44 32 39 0.0111628 23 35 40 33 37 0.0183399
24 35 46 33 37 0.0220704 24 35 43 33 37 0.0137049
25 35 50 29 41 0.016731 25 35 43 33 38 0.0188671
26 34 44 33 38 0.0275446 26 35 43 32 39 0.0247033
27 34 44 32 39 0.0318614 27 35 43 31 39 0.010845
28 34 44 31 39 0.0265932 28 35 44 33 38 0.0133046
29 34 45 32 39 0.0344691 29 35 44 32 39 0.0201842
30 33 42 31 39 0.123358 30 35 44 31 39 0.0100118
31 33 47 31 39 0.0238501 31 35 50 29 41 0.0141317
32 33 48 31 39 0.207448 32 34 44 32 39 0.0162654
33 33 48 30 40 0.0278532 33 34 44 31 39 0.033133
34 33 49 32 39 0.0279853 34 34 45 32 39 0.0135707
35 33 49 30 40 0.0365409 35 34 45 31 39 0.0175689
36 32 36 33 37 0.0659838 36 34 45 30 40 0.0113915
37 32 37 33 38 0.0229925 37 33 39 33 38 0.0116888
38 32 40 31 39 0.01072 38 33 42 31 39 0.03031
39 32 43 30 40 0.102105 39 33 47 31 39 0.0140218
40 32 45 31 39 0.0127413 40 33 47 30 40 0.0221686
41 32 45 30 40 0.0472967 41 33 48 31 39 0.0269906
42 32 46 30 40 0.0814206 42 33 48 30 40 0.0512999
43 32 50 29 41 0.012395 43 33 49 32 39 0.011275
44 31 38 32 39 0.0108954 44 33 49 31 39 0.0127182
45 31 44 29 41 0.0212986 45 33 49 30 40 0.0341216
46 31 46 29 41 0.0101171 46 33 49 29 41 0.0110589
47 31 50 30 40 0.105751 47 32 36 33 37 0.0569404
48 31 50 29 41 0.490312 48 32 37 33 38 0.0330938
49 31 50 28 42 0.0414615 49 32 43 30 40 0.0244236
50 30 38 31 39 0.10883 50 32 45 30 40 0.0193929
51 30 51 29 41 0.110433 51 32 46 30 40 0.0206158
52 30 51 28 42 0.628654 52 32 46 29 41 0.0202383
53 30 51 27 43 0.0377824 53 32 50 30 40 0.0137112
54 29 39 30 40 0.119173 54 32 50 29 41 0.0275772
55 29 52 28 42 0.130101 55 32 50 28 42 0.0105666
56 29 52 27 43 0.657133 56 31 38 32 39 0.026892
57 28 40 29 41 0.103713 57 31 40 31 39 0.0105917
58 28 53 27 43 0.113664 58 31 44 29 41 0.0148997
59 28 53 25 45 0.0385623 59 31 46 29 41 0.0103933
60 27 41 28 42 0.114432 60 31 50 30 40 0.0592117
61 27 54 25 45 0.651098 61 31 50 29 41 0.0810522
62 26 42 27 43 0.107977 62 31 50 28 42 0.10226
63 26 55 25 45 0.119566 63 31 51 28 42 0.0278259
64 26 55 23 47 0.0239947 64 30 38 31 39 0.0914819
65 26 56 25 46 0.011099 65 30 41 31 39 0.0185614
66 26 56 24 47 0.147548 66 30 41 30 40 0.0150206
67 26 56 23 47 0.0142523 67 30 51 29 41 0.0757883
68 25 57 24 47 0.0172058 68 30 51 28 42 0.12309
69 25 57 22 48 0.0238997 69 30 51 27 43 0.0979955
70 24 49 25 45 0.0155194 70 29 39 31 39 0.0200176
71 24 57 23 47 0.0913467 71 29 39 30 40 0.118225
72 24 57 22 48 0.640114 72 29 42 30 40 0.0321991
73 23 58 22 48 0.121828 73 29 42 29 41 0.0153204
74 21 60 19 51 0.071982 74 29 52 28 42 0.109792
75 20 60 18 51 0.512044 75 29 52 27 43 0.137233
76 18 63 16 53 0.410891 76 28 40 30 40 0.0218993
77 17 56 18 51 0.0172516 77 28 40 29 41 0.0958501
78 17 64 15 54 0.505795 78 28 43 29 41 0.0242155
79 17 65 15 55 0.0373483 79 28 43 28 42 0.011836
80 16 57 17 52 0.025034 80 28 45 29 41 0.0162616
81 16 65 14 55 0.456198 81 28 53 27 43 0.0984421
82 15 58 16 53 0.0181784 82 28 53 25 44 0.0274902
83 15 67 13 57 0.463917 83 28 53 25 45 0.0931804
84 14 19 13 18 0.0159303 84 27 41 29 41 0.0180663
85 14 59 15 54 0.0239939 85 27 41 28 42 0.103004
86 14 68 12 58 0.536735 86 27 44 28 42 0.0165945
87 13 60 14 55 0.0191717 87 27 46 29 41 0.0103194
88 12 16 11 15 0.0116456 88 27 46 28 42 0.0325129
89 12 21 13 22 0.0351601 89 27 54 25 44 0.0132369
90 11 17 10 16 0.0359852 90 27 54 25 45 0.132523
91 11 22 12 23 0.0512024 91 27 54 25 46 0.0142974
92 11 69 11 59 0.534042 92 26 42 28 42 0.0188804
93 10 14 11 15 0.0213866 93 26 42 27 43 0.086134
94 10 23 11 24 0.0659783 94 26 47 28 42 0.0144383
95 10 70 10 60 0.389747 95 26 47 27 43 0.0452725
96 10 72 10 62 0.247777 96 26 55 25 45 0.101408
97 9 18 9 17 0.0444132 97 26 55 24 47 0.0117641
98 9 73 8 63 0.0119982 98 26 55 23 47 0.0494924
99 8 19 8 18 0.0421045 99 26 56 25 46 0.0334479
100 8 74 9 64 0.0471423 100 26 56 24 47 0.0515715
101 8 76 8 66 0.0271918 101 26 56 23 47 0.0537746
102 7 76 7 66 0.821868 102 25 48 27 43 0.016738
103 6 77 6 67 0.869036 103 25 57 24 47 0.0378734
104 5 78 5 68 0.962952 104 25 57 23 47 0.0203137
105 4 79 4 69 0.963261 105 25 57 22 48 0.0666714
106 3 80 3 70 0.872876 106 24 48 25 44 0.0127371
107 2 81 2 71 0.752745 107 24 48 25 45 0.0133523
108 1 82 1 72 0.752744 108 24 48 25 46 0.0100569
109 24 49 25 45 0.0467857
110 24 49 25 46 0.0126485
111 24 57 23 47 0.0921866
112 24 57 22 48 0.124135
113 23 50 25 45 0.0119876
114 23 50 24 47 0.0126511
115 23 51 24 47 0.0294762
116 23 58 22 48 0.138271
117 22 47 23 47 0.0133778
118 22 52 23 47 0.0170463
119 22 60 19 51 0.0221401
120 21 52 22 48 0.0272167
121 21 60 19 51 0.0328765
122 21 60 18 51 0.0165578
123 20 60 18 51 0.0900924
124 19 52 20 48 0.0220804
125 19 60 18 51 0.013892
126 19 60 17 52 0.0105015
127 18 63 16 53 0.122589
128 17 55 18 51 0.0203127
129 17 56 18 51 0.06657
130 17 64 15 54 0.143165
131 17 65 15 55 0.0308707
132 16 56 17 52 0.0182183
133 16 57 17 52 0.105046
134 16 65 14 55 0.13451
135 15 58 16 53 0.0844361
136 15 67 13 57 0.149023
137 14 19 13 18 0.0174277
138 14 59 15 54 0.105879
139 14 68 12 58 0.143275
140 13 60 14 55 0.0819401
141 13 70 11 59 0.011409
142 12 16 11 15 0.0197214
143 12 17 13 18 0.0110198
144 12 21 13 22 0.0246713
145 12 21 11 20 0.0113061
146 12 61 13 57 0.0221517
147 12 63 13 57 0.0118578
148 12 67 13 57 0.0206475
149 11 17 10 16 0.027035
150 11 22 12 23 0.0289103
151 11 22 11 20 0.0100156
152 11 62 12 58 0.0238073
153 11 63 12 58 0.020677
154 11 68 12 58 0.0231266
155 11 69 11 59 0.126668
156 10 14 11 15 0.0664008
157 10 23 11 24 0.0292855
158 10 64 11 59 0.0182822
159 10 65 11 59 0.0270649
160 10 70 11 59 0.013269
161 10 70 10 60 0.111863
162 10 72 11 63 0.0111665
163 10 72 10 61 0.0197501
164 10 72 10 62 0.0851968
165 9 15 10 16 0.0281596
166 9 18 9 17 0.0412594
167 9 66 10 60 0.0160834
168 9 71 10 61 0.0165719
169 9 73 9 64 0.0380848
170 9 73 8 63 0.028412
171 9 75 9 64 0.0125148
172 8 16 9 17 0.0193588
173 8 19 8 18 0.0410658
174 8 74 9 64 0.109379
175 8 74 8 63 0.029173
176 8 76 8 66 0.0732703
177 8 76 7 66 0.0172466
178 7 76 8 66 0.0398486
179 7 76 7 66 0.552277
180 6 77 6 67 0.695078
181 5 78 5 68 0.823761
182 4 79 4 69 0.829247
183 3 80 3 70 0.718496
184 2 81 2 71 0.630949
185 1 82 1 72 0.630758