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1 <tool id="cfsan_centriflaken" name="Centriflaken" version="0.2.0+galaxy0">
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2 <description>An automated pipeline to generate a MAG of interest (E.coli or Salmonella) and perform serotyping.</description>
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3 <requirements>
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4 <requirement type="package" version="22.04">nextflow</requirement>
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5 <requirement type="package">graphviz</requirement>
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6 </requirements>
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7 <version_command>nextflow -version</version_command>
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8 <command detect_errors="exit_code"><![CDATA[
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9 mkdir -p cpipes-input || exit 1;
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10 pwd_path=\$(pwd);
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11 #if (str($input_read_type_cond.input_read_type) == "single_long"):
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12 #for _, $unpaired in enumerate($input_read_type_cond.input):
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13 #if not $unpaired.ext.endswith(('fastq', 'fastq.gz')):
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14 #set read1 = str($unpaired.name) + str('.') + str($unpaired.ext)
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15 #else:
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16 #set read1 = str($unpaired.name)
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17 #end if
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18 echo $unpaired.ext;
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19 ln -sf '$unpaired' './cpipes-input/$read1';
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20 #end for
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21 #elif (str($input_read_type_cond.input_read_type) == "paired"):
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22 #for _, $pair in enumerate($input_read_type_cond.input_pair)
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23 #set read_R1 = str($pair.forward.name) + str('.') + str($pair.forward.ext)
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24 #set read_R2 = str($pair.reverse.name) + str('.') + str($pair.reverse.ext)
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25 ln -sf '$pair.forward' './cpipes-input/$read_R1';
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26 ln -sf '$pair.reverse' './cpipes-input/$read_R2';
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27 #end for
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28 #end if
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29 $__tool_directory__/0.2.1/cpipes
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30 --pipeline $input_read_type_cond.pipeline_cond.pipeline
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31 #if ($input_read_type_cond.pipeline_cond.pipeline == "centriflaken"):
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32 --fq_single_end true
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33 --flye_genome_size '${genome_size}'
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34 #if ($input_read_type_cond.pipeline_cond.long_read_platform == "nanopore_corr"):
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35 --flye_nano_corr true --flye_nano_raw false
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36 #elif ($input_read_type_cond.pipeline_cond.long_read_platform == "nanopore_hq"):
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37 --flye_nano_hq true --flye_nano_raw false
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38 #elif ($input_read_type_cond.pipeline_cond.long_read_platform == "pacbio_raw"):
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39 --flye_pacbio_raw true --flye_nano_raw false
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40 #elif ($input_read_type_cond.pipeline_cond.long_read_platform == "pacbio_corr"):
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41 --flye_pacbio_corr true --flye_nano_raw false
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42 #elif ($input_read_type_cond.pipeline_cond.long_read_platform == "pacbio_hifi"):
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43 --flye_pacbio_hifi true --flye_nano_raw false
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44 #end if
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45 #elif ($input_read_type_cond.pipeline_cond.pipeline == "centriflaken_hy"):
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46 #if (str($input_read_type_cond.input_read_type) == "single_long"):
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47 --fq_single_end true
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48 #elif (str($input_read_type_cond.input_read_type) == "paired"):
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49 --fq_single_end false --fq2_suffix '${input_read_type_cond.fq2_suffix}'
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50 #end if
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51 #end if
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52 --input \${pwd_path}/cpipes-input
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53 --output \${pwd_path}/cpipes-output
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54 --fq_suffix '${input_read_type_cond.fq_suffix}'
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55 #if ($fq_filter_by_len != ""):
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56 --fq_filter_by_len $fq_filter_by_len
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57 #end if
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58 --fq_filename_delim '${fq_filename_delim}'
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59 --fq_filename_delim_idx $fq_filename_delim_idx
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60 --centrifuge_extract_bug '${centrifuge_extract_bug}'
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61 -profile kondagac;
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62 mv './cpipes-output/${input_read_type_cond.pipeline_cond.pipeline}-multiqc/multiqc_report.html' './multiqc_report.html' || exit 1;
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63 mv './cpipes-output/${input_read_type_cond.pipeline_cond.pipeline}-results/kraken2_extract_contigs' kraken2_extract_contigs || exit 1;
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64 rm -rf ./cpipes-output || exit 1;
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65 rm -rf ./work || exit 1
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66 ]]></command>
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67 <inputs>
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68 <conditional name="input_read_type_cond">
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69 <param name="input_read_type" type="select" label="Select the read collection type">
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70 <option value="single_long" selected="true">Unpaired reads (i.e. Single-End short reads or Long reads)</option>
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71 <option value="paired">Paired-End reads</option>
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72 </param>
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73 <when value="single_long">
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74 <param name="input" type="data_collection" collection_type="list" format="fastq,fastq.gz"
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75 label="Dataset list of unpaired short reads or long reads" />
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76 <conditional name="pipeline_cond">
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77 <param name="pipeline" type="select" label="CPIPES Workflow name"
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78 help="centriflaken: for long reads (Nanopore or PacBio). centriflaken_hy: for short reads (paired or unpaired). Default: centriflaken">
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79 <option value="centriflaken" selected="true">centriflaken</option>
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80 <option value="centriflaken_hy">centriflaken_hy</option>
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81 </param>
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82 <when value="centriflaken">
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83 <param name="long_read_platform" type="select" label="Mention long read sequencing platform and type">
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84 <option value="nanopore_raw" selected="true">Nanopore raw reads, pre-Guppy5 (<20% error)</option>
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85 <option value="nanopore_corr">Nanopore reads that were corrected with other methods (<3% error)</option>
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86 <option value="nanopore_hq">Nanopore high-quality reads, Guppy5+ SUP or Q20 (5% error)</option>
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87 <option value="pacbio_raw">PacBio regular CLR reads (<20% error)</option>
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88 <option value="pacbio_corr">PacBio reads that were corrected with other methods (<3% error)</option>
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89 <option value="pacbio_hifi">PacBio HiFi reads (<1% error)</option>
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90 </param>
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91 </when>
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92 <when value="centriflaken_hy">
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93 <param name="long_read_platform" value="N/A" type="text" optional="true" label="Mention long read sequencing platform and type"
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94 help="THIS OPTION IS IGNORED IF THE INPUT READS ARE SHORT READS."/>
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95 </when>
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96 </conditional>
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97 <param name="fq_suffix" value=".fastq.gz" type="text" label="Suffix of the Unpaired FASTQ"/>
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98 </when>
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99 <when value="paired">
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100 <param name="input_pair" type="data_collection" collection_type="list:paired" format="fastq,fastq.gz"
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101 label="List of Dataset pairs" />
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102 <conditional name="pipeline_cond">
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103 <param name="pipeline" type="select" label="CPIPES Workflow name"
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104 help="Auto selected centriflaken_hy for paired-end short reads.">
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105 <option value="centriflaken_hy" selected="true">centriflaken_hy</option>
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106 </param>
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107 <when value="centriflaken_hy">
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108 <param name="long_read_platform" value="N/A" type="text" optional="true" label="Mention long read sequencing platform and type"
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109 help="THIS OPTION IS IGNORED IF THE INPUT READS ARE SHORT READS."/>
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110 </when>
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111 </conditional>
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112 <param name="fq_suffix" value="_R1_001.fastq.gz" type="text" label="Suffix of the R1 FASTQ"/>
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113 <param name="fq2_suffix" value="_R2_001.fastq.gz" type="text" label="Suffix of the R2 FASTQ"/>
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114 </when>
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115 </conditional>
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116 <param name="fq_filter_by_len" optional="true" value="" type="integer" label="Enter minimum read length to retain before starting the analysis"
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117 help="Keep this option empty to use default values. Default for centriflaken (long reads) is 4000 bp and for centriflaken_hy (short reads) is 75 bp."/>
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118 <param name="fq_filename_delim" type="text" value="_" label="File name delimitor by which samples are grouped together (--fq_filename_delim)"
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119 help="This is the delimitor by which samples are grouped together to display in the final MultiQC report. For example, if your input data sets are mango_replicate1.fastq.gz, mango_replicate2.fastq.gz, orange_replicate1_maryland.fastq.gz, orange_replicate2_maryland.fastq.gz, then to create 2 samples mango and orange, the value for --fq_filename_delim would be _ (underscore) and the value for --fq_filename_delim_idx would be 1, since you want to group by the first word (i.e. mango or orange) after splitting the filename based on _ (underscore)."/>
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120 <param name="fq_filename_delim_idx" type="integer" value="1" label="File name delimitor index (--fq_filename_delim_idx)" />
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121 <param name="centrifuge_extract_bug" type="text" value="Escherichia coli" label="Reads belonging to this taxa are extracted and a MAG is generated to allow for serotyping"/>
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122 <param name="genome_size" type="text" optional="true" value="5.5m" label="Estimated genome size" help="For example, 5m or 2.6g.">
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123 <validator type="regex" message="Genome size must be a float or integer, optionally followed by the a unit prefix (kmg)">^([0-9]*[.])?[0-9]+[kmg]?$</validator>
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124 </param>
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125 <!-- <param name="runtime_profile" type="select" label="Run time profile">
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126 <option value="kondagac" selected="true">conda</option>
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127 <option value="cingularitygac">singularity</option>
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128 </param> -->
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129 </inputs>
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130 <outputs>
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131 <data name="multiqc_report" format="html" label="${input_read_type_cond.pipeline_cond.pipeline}: MultiQC Report on ${on_string}" from_work_dir="multiqc_report.html"/>
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132 <collection name="assembled_mags" type="list" label="${input_read_type_cond.pipeline_cond.pipeline}: Assembled MAGs on ${on_string}">
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133 <discover_datasets pattern="(?P<name>.*)\.assembly_filtered_contigs\.fasta" ext="fasta" directory="kraken2_extract_contigs"/>
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134 </collection>
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135 </outputs>
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136 <tests>
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137 <!--Test 01: long reads-->
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138 <test expect_num_outputs="2">
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139 <param name="input">
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140 <collection type="list">
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141 <element name="FAL11127.fastq.gz" value="FAL11127.fastq.gz" />
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142 <element name="FAL11341.fastq.gz" value="FAL11341.fastq.gz" />
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143 <element name="FAL11342.fastq.gz" value="FAL11342.fastq.gz" />
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144 </collection>
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145 </param>
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146 <param name="fq_suffix" value=".fastq.gz"/>
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147 <output name="multiqc_report" file="multiqc_report.html" ftype="html" compare="sim_size"/>
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148 <!-- <output name="assembled_mags" file="FAL11127.assembly_filtered.contigs.fasta" ftype="fasta" compare="sim_size"/> -->
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149 </test>
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150 </tests>
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151 <help><![CDATA[
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152
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153 .. class:: infomark
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154
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155 **Purpose**
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156
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157 Centriflaken suite of automated data analysis pipelines are based on Nextflow DSL2 developed at CFSAN, FDA. These pipelines allow rapid
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158 and effective construction of metagenomic assembled genomes (MAGs) to enable bacterial source-tracking. It is based on methods described in our
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159 previous publication (Maguire *et al*, 2021. doi: https://doi.org/10.1371/journal.pone.0245172).
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160
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161 ----
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162
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163 .. class:: infomark
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164
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165 **Testing and Validation**
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166
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167 The CPIPES - Centriflaken Nextflow pipeline has been wrapped to make it work in Galaxy. It takes in either paired or unpaired short reads or long reads, generates MAGs and performs
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168 in silico-based analysis (i.e., virulence gene finding). Additionally, AMR gene finding analysis is also included in Centriflaken and performed on MAGs
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169 of interest. The final summary plots and tables can be downloaded from the provided MultiQC HTML report generated as part of the pipeline.
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170 The Centriflaken pipeline was validated with data from our previously published method (Maguire *et al*, 2021. doi: https://doi.org/10.1371/journal.pone.0245172) and was able to replicate the detection
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171 and classification of STECs for each sample. We tested the pipeline with Nanopore data obtained from 21 additional enriched samples from
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172 irrigation water and was able to perform the entire precision metagenomics analysis in less than 5 hours for all of them. All the original testing and validation was
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173 done on the command line on the CFSAN Raven2 HPC Cluster.
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174
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175
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176 ----
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177
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178 .. class:: infomark
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179
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180 **Outputs**
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181
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182 The main output files are:
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183
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184 ::
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185
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186 - MultiQC Report: Contains a brief summary report including any serotyping and AMR result tables.
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187 Please note that due to MultiQC customizations, the preview (eye icon) will not
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188 work within Galaxy for the MultiQC report. Please download the file by clicking
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189 on the floppy icon and view it in your browser on your local desktop/workstation.
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190 - Final assembly: contains contigs and possibly scaffolds.
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191
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192 ]]></help>
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193 <citations>
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194 <citation type="bibtex">
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195 @misc{gitlabCPIPES,
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196 author = {Konganti, Kranti},
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197 year = {2022},
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198 title = {CPIPES - Centriflaken},
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199 publisher = {GitLab},
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200 journal = {GitLab repository},
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201 url = {https://cfsan-git.fda.gov/Kranti.Konganti/cpipes}}
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202 </citation>
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203 </citations>
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204 </tool>
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