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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 #for $key in $input.keys()
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11 ln -sf '$input[$key]' './cpipes-input/$key';
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12 #end for
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13 pwd_path=\$(pwd);
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14 $__tool_directory__/0.2.1/cpipes
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15 --pipeline $pipeline
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16 #if ($pipeline == "centriflaken"):
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17 --fq_single_end true
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18 --flye_genome_size '${genome_size}'
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19 #if ($long_read_platform == "nanopore_corr"):
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20 --flye_nano_corr true --flye_nano_raw false
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21 #elif ($long_read_platform == "nanopore_hq"):
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22 --flye_nano_hq true --flye_nano_raw false
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23 #elif ($long_read_platform == "pacbio_raw"):
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24 --flye_pacbio_raw true --flye_nano_raw false
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25 #elif ($long_read_platform == "pacbio_corr"):
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26 --flye_pacbio_corr true --flye_nano_raw false
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27 #elif ($long_read_platform == "pacbio_hifi"):
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28 --flye_pacbio_hifi true --flye_nano_raw false
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29 #end if
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30 #elif ($pipeline == "centriflaken_hy"):
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31 #if ($reads_lib_layout == "single"):
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32 --fq_single_end true
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33 #elif ($reads_lib_layout == "paired"):
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34 --fq_single_end false --fq2_suffix '${fq2_suffix}'
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35 #end if
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36 #end if
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37 --input \${pwd_path}/cpipes-input
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38 --output \${pwd_path}/cpipes-output
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39 --fq_suffix '${fq_suffix}'
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40 #if ($fq_filter_by_len != ""):
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41 --fq_filter_by_len $fq_filter_by_len
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42 #end if
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43 --fq_filename_delim '${fq_filename_delim}'
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44 --fq_filename_delim_idx $fq_filename_delim_idx
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45 --centrifuge_extract_bug '${centrifuge_extract_bug}'
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46 -profile kondagac;
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47 mv './cpipes-output/${pipeline}-multiqc/multiqc_report.html' './multiqc_report.html';
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48 mv './cpipes-output/${pipeline}-results/kraken2_extract_contigs' kraken2_extract_contigs;
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49 rm -rf ./cpipes-output;
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50 rm -rf ./work
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51 ]]></command>
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52 <inputs>
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53 <param name="input" type="data_collection" collection_type="list" format="fastq,fastq.gz,fastqsanger.gz,fastqsanger" label="Input read collection" />
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54 <param name="pipeline" type="select" label="CPIPES Workflow name"
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55 help="centriflaken: for long reads (Nanopore or PacBio). centriflaken_hy: for short reads (paired or unpaired). Default: centriflaken">
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56 <option value="centriflaken" selected="true">centriflaken</option>
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57 <option value="centriflaken_hy">centriflaken_hy</option>
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58 </param>
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59 <param name="reads_lib_layout" type="select" label="Short Read Library Layout"
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60 help="Leave this option as Single-End for centriflaken. If the pipeline is centriflaken_hy (i.e for short reads), what is the library layout? Default: Single-End">
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61 <option value="single" selected="true">Single-End</option>
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62 <option value="paired">Paired-End</option>
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63 </param>
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64 <param name="long_read_platform" type="select" label="Mention long read sequencing platform and type"
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65 help="THIS OPTION IS IGNORED IF THE INPUT READS ARE SHORT READS.">
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66 <option value="nanopore_raw" selected="true">Nanopore raw reads, pre-Guppy5 (<20% error)</option>
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67 <option value="nanopore_corr">Nanopore reads that were corrected with other methods (<3% error)</option>
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68 <option value="nanopore_hq">Nanopore high-quality reads, Guppy5+ SUP or Q20 (5% error)</option>
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69 <option value="pacbio_raw">PacBio regular CLR reads (<20% error)</option>
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70 <option value="pacbio_corr">PacBio reads that were corrected with other methods (<3% error)</option>
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71 <option value="pacbio_hifi">PacBio HiFi reads (<1% error)</option>
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72 </param>
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73 <param name="fq_suffix" value=".fastq.gz" type="text" label="Suffix of the R1 FASTQ or Unpaired FASTQ"/>
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74 <param name="fq2_suffix" value="_R2_001.fastq.gz" type="text" label="Suffix of the R2 FASTQ"
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75 help="THIS OPTION IS IGNORED IF THE INPUT READS ARE UNPAIRED/LONG READS."/>
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76 <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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77 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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78 <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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79 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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80 <param name="fq_filename_delim_idx" type="integer" value="1" label="File name delimitor index (--fq_filename_delim_idx)" />
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81 <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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82 <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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83 <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]?$</validator>
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84 </param>
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85 <!-- <param name="runtime_profile" type="select" label="Run time profile">
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86 <option value="kondagac" selected="true">conda</option>
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87 <option value="cingularitygac">singularity</option>
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88 </param> -->
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89 </inputs>
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90 <outputs>
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91 <data name="multiqc_report" format="html" label="${pipeline}: MultiQC Report on ${on_string}" from_work_dir="multiqc_report.html"/>
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92 <collection name="assembled_mags" type="list" label="${pipeline}: Assembled MAGs on ${on_string}">
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93 <discover_datasets pattern="(?P<name>.*)\.assembly_filtered_contigs\.fasta" ext="fasta" directory="kraken2_extract_contigs"/>
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94 </collection>
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95 </outputs>
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96 <tests>
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97 <!--Test 01: long reads-->
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98 <test expect_num_outputs="2">
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99 <param name="input">
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100 <collection type="list">
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101 <element name="FAL11127.fastq.gz" value="FAL11127.fastq.gz" />
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102 <element name="FAL11341.fastq.gz" value="FAL11341.fastq.gz" />
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103 <element name="FAL11342.fastq.gz" value="FAL11342.fastq.gz" />
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104 </collection>
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105 </param>
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106 <param name="fq_suffix" value=".fastq.gz"/>
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107 <output name="multiqc_report" file="multiqc_report.html" ftype="html" compare="sim_size"/>
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108 <!-- <output name="assembled_mags" file="FAL11127.assembly_filtered.contigs.fasta" ftype="fasta" compare="sim_size"/> -->
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109 </test>
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110 </tests>
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111 <help><![CDATA[
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112
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113 .. class:: infomark
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114
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115 **Purpose**
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116
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117 Centriflaken suite of automated data analysis pipelines are based on Nextflow DSL2 developed at CFSAN, FDA. These pipelines allow rapid
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118 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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119 previous publication (Maguire *et al*, 2021. doi: https://doi.org/10.1371/journal.pone.0245172).
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120
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121 ----
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122
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123 .. class:: infomark
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124
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125 **Testing and Validation**
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126
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127 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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128 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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129 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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130 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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131 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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132 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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133 done on the command line on the CFSAN Raven2 HPC Cluster.
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134
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135
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136 ----
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137
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138 .. class:: infomark
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139
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140 **Outputs**
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141
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142 The main output files are:
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143
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144 ::
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145
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146 - MultiQC Report: Contains a brief summary report including any serotyping and AMR result tables.
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147 Please note that due to MultiQC customizations, the preview (eye icon) will not
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148 work within Galaxy for the MultiQC report. Please download the file by clicking
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149 on the floppy icon and view it on your browser on your local desktop/workstation.
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150 - Final assembly: contains contigs and possibly scaffolds.
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151
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152 ]]></help>
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153 <citations>
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154 <citation type="bibtex">
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155 @misc{gitlabCPIPES,
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156 author = {Konganti, Kranti},
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157 year = {2022},
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158 title = {CPIPES - Centriflaken},
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159 publisher = {GitLab},
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160 journal = {GitLab repository},
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161 url = {https://cfsan-git.fda.gov/Kranti.Konganti/cpipes}}
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162 </citation>
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163 </citations>
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164 </tool>
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