Mercurial > repos > jjkoehorst > sapp
annotate rnammer.xml @ 36:2201c5d61f16 draft default tip
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author | jjkoehorst |
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date | Mon, 04 Jul 2016 10:53:52 -0400 |
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1 <tool id="DRnammer" name="rRNA detection" version="1.0.0"> |
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2 <description/> |
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3 <requirements> |
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4 <container type="docker">jjkoehorst/sappdocker:RNAMMER</container> |
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5 </requirements> |
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6 <command interpreter="docker">java -jar /rnammer/rnammer-0.0.1-SNAPSHOT-jar-with-dependencies.jar |
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7 '-input' '$input' -output '$output' -format TURTLE |
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8 </command> |
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9 <inputs> |
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10 <param format="ttl" label="genome ttl file" name="input" type="data"/> |
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11 </inputs> |
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12 <outputs> |
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13 <data format="ttl" label="RNA: ${input.name}" name="output"/> |
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14 </outputs> |
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15 <help>Be aware that this can only be used for academic users; other |
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16 users are |
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17 requested to contact CBS Software Package Manager at |
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18 software@cbs.dtu.dk. |
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19 We are investigating alternative prediction |
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20 applications, please contact |
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21 us if you are aware of such method. |
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22 </help> |
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23 <citations> |
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24 <citation type="bibtex">@article{Lagesen2007, |
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25 abstract = {The |
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26 publication of a complete genome sequence is usually |
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27 accompanied by |
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28 annotations of its genes. In contrast to protein |
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29 coding genes, genes |
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30 for ribosomal RNA (rRNA) are often poorly or |
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31 inconsistently annotated. |
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32 This makes comparative studies based on |
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33 rRNA genes difficult. We have |
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34 therefore created computational |
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35 predictors for the major rRNA species |
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36 from all kingdoms of life and |
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37 compiled them into a program called |
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38 RNAmmer. The program uses hidden |
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39 Markov models trained on data from |
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40 the 5S ribosomal RNA database and |
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41 the European ribosomal RNA database |
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42 project. A pre-screening step |
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43 makes the method fast with little loss |
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44 of sensitivity, enabling the |
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45 analysis of a complete bacterial genome |
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46 in less than a minute. |
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47 Results from running RNAmmer on a large set of |
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48 genomes indicate that |
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49 the location of rRNAs can be predicted with a |
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50 very high level of |
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51 accuracy. Novel, unannotated rRNAs are also |
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52 predicted in many |
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53 genomes. The software as well as the genome analysis |
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54 results are |
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55 available at the CBS web server.}, |
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56 author = {Lagesen, Karin |
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57 and Hallin, Peter and R\o dland, Einar Andreas and |
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58 Staerfeldt, |
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59 Hans-Henrik and Rognes, Torbj\o rn and Ussery, David W}, |
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60 doi = |
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61 {10.1093/nar/gkm160}, |
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62 file = {:Users/koeho006/Library/Application |
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63 Support/Mendeley |
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64 Desktop/Downloaded/Lagesen et al. - 2007 - RNAmmer |
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65 consistent and |
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66 rapid annotation of ribosomal RNA genes.pdf:pdf}, |
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67 issn = |
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68 {1362-4962}, |
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69 journal = {Nucleic acids research}, |
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70 keywords = |
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71 {Computational Biology,Computational Biology: methods,Genes, |
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72 rRNA,Genome, Bacterial,Genomics,Genomics: methods,Markov |
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73 Chains,Software}, |
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74 mendeley-groups = {Dump/VAPP Paper,VAPP Application |
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75 note}, |
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76 month = jan, |
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77 number = {9}, |
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78 pages = {3100--8}, |
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79 pmid = {17452365}, |
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80 title = {{RNAmmer: consistent and rapid annotation of ribosomal RNA |
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81 genes.}}, |
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82 volume = {35}, |
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83 year = {2007} |
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84 } |
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85 </citation> |
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86 </citations> |
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87 </tool> |