Mercurial > repos > kkonganti > cfsan_centriflaken
comparison cfsan_centriflaken.xml @ 6:1e19594944c5
"planemo upload"
author | kkonganti |
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date | Tue, 28 Jun 2022 10:36:51 -0400 |
parents | 8ab30c459b53 |
children | 872994da252c |
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5:8ab30c459b53 | 6:1e19594944c5 |
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46 <option value="paired">Paired-End</option> | 46 <option value="paired">Paired-End</option> |
47 </param> | 47 </param> |
48 <param name="fq_suffix" value=".fastq.gz" type="text" label="Suffix of the R1 FASTQ or Unpaired FASTQ"/> | 48 <param name="fq_suffix" value=".fastq.gz" type="text" label="Suffix of the R1 FASTQ or Unpaired FASTQ"/> |
49 <param name="fq2_suffix" value="_R2_001.fastq.gz" type="text" label="Suffix of the R2 FASTQ R2"/> | 49 <param name="fq2_suffix" value="_R2_001.fastq.gz" type="text" label="Suffix of the R2 FASTQ R2"/> |
50 <param name="fq_filename_delim" type="text" value="_" label="File name delimitor by which samples are grouped together (--fq_filename_delim)" | 50 <param name="fq_filename_delim" type="text" value="_" label="File name delimitor by which samples are grouped together (--fq_filename_delim)" |
51 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_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)"/> | 51 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)"/> |
52 <param name="fq_filename_delim_idx" type="integer" value="1" label="File name delimitor index (--fq_filename_delimitor_idx)" /> | 52 <param name="fq_filename_delim_idx" type="integer" value="1" label="File name delimitor index (--fq_filename_delim_idx)" /> |
53 <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"/> | 53 <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"/> |
54 <param name="genome_size" type="text" optional="true" value="5.5m" label="Estimated genome size" help="For example, 5m or 2.6g."> | 54 <param name="genome_size" type="text" optional="true" value="5.5m" label="Estimated genome size" help="For example, 5m or 2.6g."> |
55 <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]?$</validator> | 55 <validator type="regex" message="Genome size must be a float or integer, optionally followed by the a unit prefix (kmg)">^([0-9]*[.])?[0-9]+[kmg]?$</validator> |
56 </param> | 56 </param> |
57 <param name="runtime_profile" type="select" label="Run time profile" value="kondagac"> | 57 <param name="runtime_profile" type="select" label="Run time profile" value="kondagac"> |
86 | 86 |
87 .. class:: infomark | 87 .. class:: infomark |
88 | 88 |
89 **Purpose** | 89 **Purpose** |
90 | 90 |
91 Centriflaken suite of automated data analysis pipelines based on Nextflow DSL2 developed at CFSAN, FDA. Thess piepelines allow rapid | 91 Centriflaken suite of automated data analysis pipelines are based on Nextflow DSL2 developed at CFSAN, FDA. These piepelines allow rapid |
92 and effective construction of metagenomic assembled genomes (MAGs) to enable bacterial source-tracking. It is based on methods described in our | 92 and effective construction of metagenomic assembled genomes (MAGs) to enable bacterial source-tracking. It is based on methods described in our |
93 previous publication (https://doi.org/10.1371/journal.pone.0245172). | 93 previous publication (https://doi.org/10.1371/journal.pone.0245172). |
94 ---- | 94 ---- |
95 | 95 |
96 .. class:: infomark | 96 .. class:: infomark |