Repository 'graphclust_mlocarna'
hg clone https://toolshed.g2.bx.psu.edu/repos/rnateam/graphclust_mlocarna

Changeset 0:15bd4fb05e5c (2016-12-16)
Next changeset 1:c6c4a7adb099 (2017-01-21)
Commit message:
planemo upload for repository https://github.com/eteriSokhoyan/galaxytools/tree/branchForIterations/tools/GraphClust/LocARNAGraphClust commit 21aaee40723b5341b4236edeb0e72995c2054053
added:
locarna_best_subtree.xml
test-data/1.1.center.fa
test-data/1.1.matrix.tree
test-data/1.1.tree
test-data/best_subtree.aln
test-data/data.map
b
diff -r 000000000000 -r 15bd4fb05e5c locarna_best_subtree.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/locarna_best_subtree.xml Fri Dec 16 07:35:29 2016 -0500
[
b'@@ -0,0 +1,190 @@\n+<tool id="locarna_best_subtree" name="locarna_best_subtree" version="0.1.0" >\n+\t<requirements>\n+\t\t<requirement type="package" version="0.1">graphclust-wrappers</requirement>\n+\t\t<requirement type="package" version=\'1.8.10\'>locarna</requirement>\n+\t\t<requirement type="package" version=\'2.1\'>rnaz</requirement>\n+\t\t<requirement type="package" version=\'0.07\'>perl-math-round</requirement>\n+\t</requirements>\n+\t<stdio>\n+\t\t<exit_code range="1:" />\n+\t</stdio>\n+\t<command>\n+\t\t<![CDATA[\n+\n+\t\t    \'locARNAGraphClust.pl\'  \'$center_fa_file\' \'$tree_file\' \'$tree_matrix\' $p $max_diff_am $tau $max_diff \'\' \'$data_map\' $plfold_minlen\n+        ]]>\n+\t</command>\n+\t<inputs>\n+\t\t<param type="data" name="center_fa_file" label="centers" format="fa, fasta" help="fasta format" />\n+\t\t<param type="data" name="tree_file" label="trees" format="text" help="text format" />\n+\t\t<param type="data" name="tree_matrix" label="tree_matrix" format="text" help="text format" />\n+\t\t<param type="data" name="data_map" label="data_map" format="txt" help="text format" />\n+\t\t<param name="p" type="float" value="0.001" size="5" label="minimal probability" help="-p"/>\n+\t\t<param name="max_diff_am" type="integer" value="50" size="5" label=" maximal difference for sizes of matched arcs" help="--max-diff-am"/>\n+\t\t<param name="tau" type="integer" value="50" size="5" label="Tau factor in percent" help="--tau"/>\n+\t\t<param name="max_diff" type="integer" value="100" size="5" label="maximal difference for alignment traces" help="--max-diff"/>\n+\t\t<param name="plfold_minlen" type="integer" value="210" size="5" label="Minimal length of a sequences for which RNAplfold is used" />\n+\t</inputs>\n+\t<outputs>\n+\n+\t\t<data name="model_tree_stk" format="stockholm" label="model.tree.stk" from_work_dir="MODEL/best_subtree.aln" />\n+\t</outputs>\n+\t<tests>\n+\t\t<test>\n+\t\t\t<param name="tree_file" value="1.1.tree"/>\n+\t\t\t<param name="center_fa_file" value="1.1.center.fa"/>\n+\t\t\t<param name="data_map" value="data.map"/>\n+\t\t\t<param name="tree_matrix" value="1.1.matrix.tree"/>\n+\t\t\t<param name="p" value="0.001"/>\n+\t\t\t<param name="max-diff-am" value="50"/>\n+\t\t\t<param name="tau" value="50"/>\n+\t\t\t<param name="max-diff-am" value="100"/>\n+\t\t\t<output name="model_tree_stk" file="best_subtree.aln"/>\n+\t\t</test>\n+\t</tests>\n+\t<help>\n+\t\t<![CDATA[\n+**What it does**\n+\n+MLocARNA computes a multiple sequence-structure alignment of RNA sequences.\n+It uses *treefile* - file with guide tree in NEWICK format. The given tree is used as guide tree for the progressive alignment.\n+This saves the calculation of pairwise all-vs-all similarities and construction of the guide tree.\n+\n+\n+\n+]]>\n+\t</help>\n+\t<citations>\n+\t\t<citation type="bibtex">@inproceedings{costa2010fast,\n+        title={Fast neighborhood subgraph pairwise distance kernel},\n+        author={Costa, Fabrizio and De Grave, Kurt},\n+        booktitle={Proceedings of the 26th International Conference on Machine Learning},\n+        pages={255--262},\n+        year={2010},\n+        organization={Omnipress}\n+      }\n+      </citation>\n+\t\t\t<citation type="bibtex">@Article{Will_Joshi_Hofacker-LocAR_Accur_bound-2012,\n+  author =\t {Will, Sebastian and Joshi, Tejal and Hofacker, Ivo L. and\n+                  Stadler, Peter F. and Backofen, Rolf},\n+  title =\t {{LocARNA}-{P}: {Accurate} boundary prediction and improved\n+                  detection of structural {RNAs}},\n+  journal =\t {RNA},\n+  year =\t {2012},\n+  volume =\t {18},\n+  number =\t {5},\n+  pages =\t {900-14},\n+  user =\t {will},\n+  pmid =\t {22450757},\n+  doi = \t {10.1261/rna.029041.111},\n+  issn = \t {1469-9001},\n+  issn = \t {1355-8382},\n+  abstract =\t {Current genomic screens for noncoding RNAs (ncRNAs) predict\n+                  a large number of genomic regions containing potential\n+                  structural ncRNAs. The analysis of these data requires\n+                  highly accurate prediction of ncRNA boundaries and\n+                  discrimination of promising candidate ncRNAs from weak\n+                  prediction'..b'+  title =\t {Inferring Non-Coding {RNA} Families and Classes by Means of\n+                  Genome-Scale Structure-Based Clustering},\n+  journal =\t {PLoS Comput Biol},\n+  year =\t 2007,\n+  volume =       {3},\n+  number =       {4},\n+  pages =        {e65},\n+  issn =         {1553-7358},\n+  issn =         {1553-734X},\n+  pmid =         {17432929},\n+  doi =          {10.1371/journal.pcbi.0030065},\n+  user =\t {will},\n+  abstract =\t {The RFAM database defines families of ncRNAs by means of\n+                  sequence similarities that are sufficientto establish\n+                  homology. In some cases, such as microRNAs, box H/ACA\n+                  snoRNAs, functional commonalities define classes of RNAs\n+                  that are characterized by structural similarities, and\n+                  typically consist ofmultiple RNA families. Recent advances\n+                  in high-throughput transcriptomics and comparative genomics\n+                  have produced very large sets of putative non-coding RNAs\n+                  and regulatory RNA signals. For many ofthem, evidence for\n+                  stabilizing selection acting on their secondary structures\n+                  has been derived, and at least approximate models of their\n+                  structures have been computed. The overwhelming majority of\n+                  these hypo-thetical RNAs cannot be assigned to established\n+                  families or classes. We present here a structure-based\n+                  clustering approach that is capable of extracting putative\n+                  RNA classesfrom genome-wide surveys for structured RNAs. The\n+                  LocARNA tool implements a novel variant of theSankoff\n+                  algorithm that is sufficiently fast to deal with several\n+                  thousand candidate sequences. The method is also robust\n+                  against false positive predictions, i.e., a contamination of\n+                  the input data with unstructured ornon-conserved\n+                  sequences. We have successfully tested the LocARNA-based\n+                  clustering approach on the sequences of the\n+                  RFAM-seedalignments. Furthermore, we have applied it to a\n+                  previously published set of 3332 predicted structured\n+                  elements in the Ciona intestinalis genomes (Missal et al.,\n+                  Bioinformatics 21(S2), i77-i78). In addition torecovering\n+                  e.g. tRNAs as a structure-based class, the method identifies\n+                  several RNA families, including microRNA and snoRNA\n+                  candidates, and suggests several novel classes of ncRNAs for\n+                  which to-date norepresentative has been experimentally\n+                  characterized.}\n+}\n+\n+\t\t\t\t\t</citation>\n+\t\t\t\t\t<citation type="bibtex">@Article{Smith:Heyne:Richter:Freib_RNA_Tools:NAR2010,\n+  author =\t {Smith, Cameron and Heyne, Steffen and Richter, Andreas S.\n+                  and Will, Sebastian and Backofen, Rolf},\n+  title =\t {Freiburg {RNA} {Tools}: a web server integrating {IntaRNA},\n+                  {ExpaRNA} and {LocARNA}},\n+  journal =\t NAR,\n+  year =\t {2010},\n+  volume =\t {38 Suppl},\n+  number =\t {},\n+  pages =\t {W373-7},\n+  user =\t {arichter},\n+  pmid =\t {20444875},\n+  doi = \t {10.1093/nar/gkq316},\n+  issn = \t {0305-1048},\n+  issn =\t {1362-4962},\n+  abstract =\t {The Freiburg RNA tools web server integrates three tools\n+                  for the advanced analysis of RNA in a common web-based user\n+                  interface. The tools IntaRNA, ExpaRNA and LocARNA support\n+                  the prediction of RNA-RNA interaction, exact RNA matching\n+                  and alignment of RNA, respectively. The Freiburg RNA tools\n+                  web server and the software packages of the stand-alone\n+                  tools are freely accessible at\n+                  http://rna.informatik.uni-freiburg.de.}\n+}\n+\t\t\t\t\t\t</citation>\n+\t</citations>\n+</tool>\n'
b
diff -r 000000000000 -r 15bd4fb05e5c test-data/1.1.center.fa
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/1.1.center.fa Fri Dec 16 07:35:29 2016 -0500
b
@@ -0,0 +1,40 @@
+>7 SEQ7#1#83#+ ORIGID RF00005_rep.12_AC108081.2/59868-59786_7 ORIGHEAD RF00005_rep.12
+GUCAGGAUGGCCGAGCGGUCUAAGGCGCUGCGUUCAGGUCGCAGUCUCCCCUGGAGGCGUGGGUUCGAAUCCCACUUCUGACA
+>9 SEQ9#1#73#+ ORIGID RF00005_rep.14_AL021808.2/65570-65498_9 ORIGHEAD RF00005_rep.14
+GCUUCUGUAGUGUAGUGGUUAUCACGUUCGCCUCACACGCGAAAGGUCCCCGGUUCGAAACCGGGCAGAAGCA
+>10 SEQ10#1#73#+ ORIGID RF00005_rep.15_AC008443.10/42590-42518_10 ORIGHEAD RF00005_rep.15
+GCCCGGCUAGCUCAGUCGGUAGAGCAUGAGACUCUUAAUCUCAGGGUCGUGGGUUCGAGCCCCACGUUGGGCG
+>15 SEQ15#1#73#+ ORIGID RF00005_rep.1_AC005329.1/7043-6971_15 ORIGHEAD RF00005_rep.1
+GCCGAAAUAGCUCAGUUGGGAGAGCGUUAGACUGAAGAUCUAAAGGUCCCUGGUUCGAUCCCGGGUUUCGGCA
+>16 SEQ16#1#72#+ ORIGID RF00005_rep.20_AL671879.2/100356-100285_16 ORIGHEAD RF00005_rep.20
+GGGGAUGUAGCUCAGUGGUAGAGCGCAUGCUUCGCAUGUAUGAGGCCCCGGGUUCGAUCCCCGGCAUCUCCA
+>17 SEQ17#1#71#+ ORIGID RF00005_rep.21_AL355149.13/15278-15208_17 ORIGHEAD RF00005_rep.21
+GCAUUGGUGGUUCAGUGGUAGAAUUCUCGCCUCCCACGCGGGAGACCCGGGUUCAAUUCCCGGCCAAUGCA
+>18 SEQ18#1#72#+ ORIGID RF00005_rep.22_AL590385.23/26487-26416_18 ORIGHEAD RF00005_rep.22
+GCGUUGGUGGUAUAGUGGUGAGCAUAGCUGCCUUCCAAGCAGUUGACCCGGGUUCGAUUCCCGGCCAACGCA
+>23 SEQ23#1#74#+ ORIGID RF00005_rep.27_AL352978.6/119697-119770_23 ORIGHEAD RF00005_rep.27
+GGCCGGUUAGCUCAGUUGGUUAGAGCGUGGUGCUAAUAACGCCAAGGUCGCGGGUUCGAUCCCCGUACGGGCCA
+>28 SEQ28#1#71#+ ORIGID RF00005_rep.31_AC092686.3/29631-29561_28 ORIGHEAD RF00005_rep.31
+GCAUUGGUGGUUCAGUGGUAGAAUUCUCGCCUGCCACGCGGGAGGCCCGGGUUCGAUUCCCGGCCAAUGCA
+>30 SEQ30#1#72#+ ORIGID RF00005_rep.33_AC018638.5/4694-4623_30 ORIGHEAD RF00005_rep.33
+GGCUCGUUGGUCUAGGGGUAUGAUUCUCGCUUAGGGUGCGAGAGGUCCCGGGUUCAAAUCCCGGACGAGCCC
+>31 SEQ31#1#73#+ ORIGID RF00005_rep.34_AC008443.10/43006-42934_31 ORIGHEAD RF00005_rep.34
+GUUUCCGUAGUGUAGUGGUUAUCACGUUCGCCUCACACGCGAAAGGUCCCCGGUUCGAAACCGGGCGGAAACA
+>32 SEQ32#1#73#+ ORIGID RF00005_rep.35_AC005783.1/27398-27326_32 ORIGHEAD RF00005_rep.35
+GUUUCCGUAGUGUAGCGGUUAUCACAUUCGCCUCACACGCGAAAGGUCCCCGGUUCGAUCCCGGGCGGAAACA
+>33 SEQ33#1#72#+ ORIGID RF00005_rep.36_AC007298.17/145366-145295_33 ORIGHEAD RF00005_rep.36
+UCCUCGUUAGUAUAGUGGUGAGUAUCCCCGCCUGUCACGCGGGAGACCGGGGUUCGAUUCCCCGACGGGGAG
+>35 SEQ35#1#72#+ ORIGID RF00005_rep.38_J00309.1/356-427_35 ORIGHEAD RF00005_rep.38
+UCCCUGGUGGUCUAGUGGCUAGGAUUCGGCGCUUUCACCGCCGCGCCCCGGGUUCGAUUCCCGGCCAGGAAU
+>37 SEQ37#1#82#+ ORIGID RF00005_rep.3_Z54587.1/126-45_37 ORIGHEAD RF00005_rep.3
+GGUAGCGUGGCCGAGCGGUCUAAGGCGCUGGAUUUAGGCUCCAGUCUCUUCGGAGGCGUGGGUUCGAAUCCCACCGCUGCCA
+>46 SEQ46#1#72#+ ORIGID RF00005_rep.5_AL590385.23/26129-26058_46 ORIGHEAD RF00005_rep.5
+UCCCUGGUGGUCUAGUGGUUAGGAUUCGGCGCUCUCACCGCCGCGGCCCGGGUUCGAUUCCCGGUCAGGGAA
+>51 SEQ51#1#88#+ ORIGID RF00006_rep.0_AF045145.1/1-88_51 ORIGHEAD RF00006_rep.0
+GGCUGGCUUUAGCUCAGCGGUUACUUCGCGUGUCAUCAAACCACCUCUCUGGGUUGUUCGAGACCCGCGGGCGCUCUCCAGCCCUCUU
+>52 SEQ52#1#101#+ ORIGID RF00006_rep.1_AC005219.1/49914-50014_52 ORIGHEAD RF00006_rep.1
+GGGUCGGAGUUAGCUCAAGCGGUUACCUCCUCAUGCCGGACUUUCUAUCUGUCCAUCUCUGUGCUGGGGUUCGAGACCCGCGGGUGCUUACUGACCCUUUU
+>53 SEQ53#1#98#+ ORIGID RF00006_rep.2_AF045143.1/1-98_53 ORIGHEAD RF00006_rep.2
+GGCUGGCUUUAGCUCAGCGGUUACUUCGACAGUUCUUUAAUUGAAACAAGCAACCUGUCUGGGUUGUUCGAGACCCGCGGGCGCUCUCCAGUCCUUUU
+>54 SEQ54#1#88#+ ORIGID RF00006_rep.3_AF045144.1/1-88_54 ORIGHEAD RF00006_rep.3
+GGCUGGCUUUAGCUCAGCGGUUACUUCGAGUACAUUGUAACCACCUCUCUGGGUGGUUCGAGACCCGCGGGUGCUUUCCAGCUCUUUU
b
diff -r 000000000000 -r 15bd4fb05e5c test-data/1.1.matrix.tree
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/1.1.matrix.tree Fri Dec 16 07:35:29 2016 -0500
b
@@ -0,0 +1,20 @@
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+0.423873  0.413869  0.427363  0.408136  0.417320  0.428776  0.402300  0.435089  0.418076  0.423357  0.402238  0.410142  0.406519  0.429861  0.441888  0.423858  0.000000  0.474825  0.594380  0.571671  
+0.426227  0.394038  0.424735  0.419974  0.420319  0.430573  0.405816  0.420686  0.412067  0.422084  0.389074  0.395175  0.423555  0.419845  0.432467  0.419329  0.474825  0.000000  0.466968  0.489649  
+0.430509  0.410417  0.425622  0.412883  0.412897  0.428577  0.416556  0.422545  0.415370  0.413487  0.397992  0.397606  0.410966  0.414696  0.434868  0.419532  0.594380  0.466968  0.000000  0.548030  
+0.421103  0.404625  0.422313  0.409892  0.417445  0.424501  0.412890  0.422448  0.421449  0.413927  0.391832  0.395594  0.407189  0.426070  0.431986  0.421059  0.571671  0.489649  0.548030  0.000000  
b
diff -r 000000000000 -r 15bd4fb05e5c test-data/1.1.tree
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/1.1.tree Fri Dec 16 07:35:29 2016 -0500
b
@@ -0,0 +1,1 @@
+(((((54:0.133216,(53:0.115952,51:0.115952):0.0172647):0.0413516,52:0.174568):0.0233911,(37:0.150476,7:0.150476):0.047483):0.00361419,(((23:0.184455,16:0.184455):0.0038835,10:0.188338):0.00251517,15:0.190853):0.01072):0.00340405,((((46:0.099691,35:0.099691):0.0793888,((28:0.066725,17:0.066725):0.105711,18:0.172436):0.00664407):0.0153606,30:0.19444):0.00190942,(33:0.187757,((32:0,31:0):0.066541,9:0.066541):0.121216):0.00859264):0.00862737):0
b
diff -r 000000000000 -r 15bd4fb05e5c test-data/best_subtree.aln
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/best_subtree.aln Fri Dec 16 07:35:29 2016 -0500
b
@@ -0,0 +1,8 @@
+CLUSTAL W --- LocARNA 1.8.10
+
+18                 GCGUUGGUGGUAUAGUGGUGAGCAUAGCUGCCUUCCAAGCAGUUGA-CCCGGGUUCGAUUCCCGGCCAACGCA
+17                 GCAUUGGUGGUUCAGUGGU-AGAAUUCUCGCCUCCCACGCGGGAGA-CCCGGGUUCAAUUCCCGGCCAAUGCA
+28                 GCAUUGGUGGUUCAGUGGU-AGAAUUCUCGCCUGCCACGCGGGAGG-CCCGGGUUCGAUUCCCGGCCAAUGCA
+46                 UCCCUGGUGGUCUAGUGGUUAGGAUUCGGCGCUCUCACCGCCGCGG-CCCGGGUUCGAUUCCCGGUCAGGGAA
+35                 UCCCUGGUGGUCUAGUGGCUAGGAUUCGGCGCUUUCACCGCCGCGC-CCCGGGUUCGAUUCCCGGCCAGGAAU
+30                 GGCUCGUUGGUCUAGGGGU-AUGAUUCUCGCUUAGGGUGCGAGAGGUCCCGGGUUCAAAUCCCGGACGAGCCC
b
diff -r 000000000000 -r 15bd4fb05e5c test-data/data.map
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/data.map Fri Dec 16 07:35:29 2016 -0500
b
@@ -0,0 +1,92 @@
+1 SEQ1#1#120#+
+2 SEQ2#1#118#+
+3 SEQ3#1#104#+
+4 SEQ4#1#73#+
+5 SEQ5#1#72#+
+6 SEQ6#1#66#+
+7 SEQ7#1#83#+
+8 SEQ8#1#70#+
+9 SEQ9#1#73#+
+10 SEQ10#1#73#+
+11 SEQ11#1#82#+
+12 SEQ12#1#82#+
+13 SEQ13#1#82#+
+14 SEQ14#1#73#+
+15 SEQ15#1#73#+
+16 SEQ16#1#72#+
+17 SEQ17#1#71#+
+18 SEQ18#1#72#+
+19 SEQ19#1#82#+
+20 SEQ20#1#72#+
+21 SEQ21#1#74#+
+22 SEQ22#1#72#+
+23 SEQ23#1#74#+
+24 SEQ24#1#73#+
+25 SEQ25#1#69#+
+26 SEQ26#1#72#+
+27 SEQ27#1#69#+
+28 SEQ28#1#71#+
+29 SEQ29#1#66#+
+30 SEQ30#1#72#+
+31 SEQ31#1#73#+
+32 SEQ32#1#73#+
+33 SEQ33#1#72#+
+34 SEQ34#1#68#+
+35 SEQ35#1#72#+
+36 SEQ36#1#73#+
+37 SEQ37#1#82#+
+38 SEQ38#1#65#+
+39 SEQ39#1#69#+
+40 SEQ40#1#66#+
+41 SEQ41#1#68#+
+42 SEQ42#1#69#+
+43 SEQ43#1#71#+
+44 SEQ44#1#69#+
+45 SEQ45#1#72#+
+46 SEQ46#1#72#+
+47 SEQ47#1#68#+
+48 SEQ48#1#71#+
+49 SEQ49#1#68#+
+50 SEQ50#1#73#+
+51 SEQ51#1#88#+
+52 SEQ52#1#101#+
+53 SEQ53#1#98#+
+54 SEQ54#1#88#+
+55 SEQ55#1#113#+
+56 SEQ56#1#95#+
+57 SEQ57#1#102#+
+58 SEQ58#1#84#+
+59 SEQ59#1#79#+
+60 SEQ60#1#87#+
+61 SEQ61#1#76#+
+62 SEQ62#1#62#+
+63 SEQ63#1#68#+
+64 SEQ64#1#62#+
+65 SEQ65#1#57#+
+66 SEQ66#1#71#+
+67 SEQ67#1#66#+
+68 SEQ68#1#64#+
+69 SEQ69#1#82#+
+70 SEQ70#1#68#+
+71 SEQ71#1#76#+
+72 SEQ72#1#126#+
+73 SEQ73#1#126#+
+74 SEQ74#1#127#+
+75 SEQ75#1#126#+
+76 SEQ76#1#79#+
+77 SEQ77#1#77#+
+78 SEQ78#1#80#+
+79 SEQ79#1#79#+
+80 SEQ80#1#79#+
+81 SEQ81#1#77#+
+82 SEQ82#1#81#+
+83 SEQ83#1#79#+
+84 SEQ84#1#79#+
+85 SEQ85#1#79#+
+86 SEQ86#1#79#+
+87 SEQ87#1#78#+
+88 SEQ88#1#81#+
+89 SEQ89#1#80#+
+90 SEQ90#1#66#+
+91 SEQ91#1#69#+
+92 SEQ92#1#69#+