Mercurial > repos > kkonganti > hfp_nowayout
diff hfp_nowayout.xml @ 0:97cd2f532efe
planemo upload
author | kkonganti |
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date | Mon, 31 Mar 2025 14:50:40 -0400 |
parents | |
children | fa47b825716b |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/hfp_nowayout.xml Mon Mar 31 14:50:40 2025 -0400 @@ -0,0 +1,199 @@ +<tool id="hfp_nowayout" name="nowayout" version="0.5.0+galaxy24"> + <description>An automated workflow to identify Mitochondrial reads and classify Eukaryotes.</description> + <requirements> + <container type="docker">quay.io/biocontainers/nextflow:24.10.4--hdfd78af_0</container> + </requirements> + <version_command>nextflow -version</version_command> + <command detect_errors="exit_code"><![CDATA[ + input_path=\$(pwd)"/cpipes-input"; + mkdir -p "\${input_path}" || exit 1; + #import re + #if (str($input_read_type_cond.input_read_type) == "single_long"): + #for _, $unpaired in enumerate($input_read_type_cond.input): + #set read1 = str($unpaired.name) + #if not str($unpaired.name).endswith(('.fastq', '.fastq.gz')): + #set read1_ext = re.sub('fastqsanger', 'fastq', str($unpaired.ext)) + #set read1 = str($unpaired.name) + str('.') + $read1_ext + #end if + ln -sf '$unpaired' "\${input_path}/$read1"; + #end for + #elif (str($input_read_type_cond.input_read_type) == "paired"): + #for _, $pair in enumerate($input_read_type_cond.input_pair) + #set read_R1 = re.sub('\:forward', '_forward', str($pair.forward.name)) + #set read_R2 = re.sub('\:reverse', '_reverse', str($pair.reverse.name)) + #set read_R1_ext = re.sub('fastqsanger', 'fastq', str($pair.forward.ext)) + #set read_R2_ext = re.sub('fastqsanger', 'fastq', str($pair.reverse.ext)) + #if not str($pair.forward.name).endswith(('.fastq', '.fastq.gz')): + #set read_R1 = $read_R1 + str('.') + $read_R1_ext + #end if + #if not str($pair.reverse.name).endswith(('.fastq', '.fastq.gz')): + #set read_R2 = $read_R2 + str('.') + $read_R2_ext + #end if + ln -sf '$pair.forward' "\${input_path}/$read_R1"; + ln -sf '$pair.reverse' "\${input_path}/$read_R2"; + #end for + #end if + $__tool_directory__/0.5.0/cpipes + --pipeline nowayout + --input \${input_path} + --output cpipes-output + --fq_suffix '${input_read_type_cond.fq_suffix}' + #if (str($input_read_type_cond.input_read_type) == "single_long"): + --fq_single_end true + #elif (str($input_read_type_cond.input_read_type) == "paired"): + --fq_single_end false --fq2_suffix '${input_read_type_cond.fq2_suffix}' + #end if + --db_mode $nowo_db_mode + --nowo_thresholds $nowo_thresholds + --fq_filename_delim '${fq_filename_delim}' + --fq_filename_delim_idx $fq_filename_delim_idx + -profile gxkubernetes; + mv './cpipes-output/nowayout-multiqc/multiqc_report.html' './multiqc_report.html' || exit 1; + mv './cpipes-output/krona_ktimporttext/CPIPES_nowayout_krona.html './CPIPES_nowayout_krona.html' || exit 1; + rm -rf ./cpipes-output || exit 1; + rm -rf ./work || exit 1; + ]]></command> + <inputs> + <conditional name="input_read_type_cond"> + <param name="input_read_type" type="select" label="Select the read collection type"> + <option value="single_long" selected="true">Single-End short reads</option> + <option value="paired">Paired-End short reads</option> + </param> + <when value="single_long"> + <param name="input" type="data_collection" collection_type="list" format="fastq,fastq.gz" + label="Dataset list of unpaired short reads or long reads" /> + <param name="fq_suffix" value=".fastq.gz" type="text" label="Suffix of the Single-End FASTQ"/> + </when> + <when value="paired"> + <param name="input_pair" type="data_collection" collection_type="list:paired" format="fastq,fastq.gz" label="List of Dataset pairs" /> + <param name="fq_suffix" value="_R1_001.fastq.gz" type="text" label="Suffix of the R1 FASTQ" + help="For any data sets downloaded from NCBI into Galaxy, change this to _forward.fastq.gz suffix."/> + <param name="fq2_suffix" value="_R2_001.fastq.gz" type="text" label="Suffix of the R2 FASTQ" + help="For any data sets downloaded from NCBI into Galaxy, change this to _reverse.fastq.gz suffix."/> + </when> + </conditional> + <param name="nowo_db_mode" type="select" label="Select the database with nowayout" + help="Please see below about different databases."> + <option value="mitomine" selected="true">mitomine</option> + <option value="cytox1">cytox1</option> + <option value="voucher">voucher</option> + <option value="ganoderma">ganoderma</option> + <option value="listeria">listeria</option> + </param> + <param name="nowo_thresholds" type="select" label="Enter the type of base quality thresholds to be set with nowayout" + help="The default value sets strictest thresholds that tends to filter out most of the false positive hits."> + <option value="strict" selected="true">strict</option> + <option value="relax">relax</option> + </param> + <param name="fq_filename_delim" type="text" value="_" label="File name delimitor by which samples are grouped together (--fq_filename_delim)" + 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)."/> + <param name="fq_filename_delim_idx" type="integer" value="1" label="File name delimitor index (--fq_filename_delim_idx)" /> + </inputs> + <outputs> + <data name="krona_chart" format="html" label="nowayout: Krona Chart on ${on_string}" from_work_dir="CPIPES_nowayout_krona.html"/> + <data name="multiqc_report" format="html" label="nowayout: MultiQC Report on ${on_string}" from_work_dir="multiqc_report.html"/> + </outputs> + <tests> + <!--Test 01: long reads--> + <test expect_num_outputs="2"> + <param name="input"> + <collection type="list"> + <element name="FAL11127.fastq.gz" value="FAL11127.fastq.gz" /> + <element name="FAL11341.fastq.gz" value="FAL11341.fastq.gz" /> + <element name="FAL11342.fastq.gz" value="FAL11342.fastq.gz" /> + </collection> + </param> + <param name="fq_suffix" value=".fastq.gz"/> + <output name="multiqc_report" file="multiqc_report.html" ftype="html" compare="sim_size"/> + <!-- <output name="assembled_mags" file="FAL11127.assembly_filtered.contigs.fasta" ftype="fasta" compare="sim_size"/> --> + </test> + </tests> + <help><![CDATA[ + +.. class:: infomark + +**Purpose** + +nowayout is a mitochondrial metagenomics classifier for Eukaryotes. +It uses a custom kma database to identify mitochondrial reads and +performs read classification followed by further read classification +reinforcement using sourmash. + +It is written in Nextflow and is part of the modular data analysis pipelines (CFSAN PIPELINES or CPIPES for short) at HFP. + + +---- + +.. class:: infomark + +** Databases ** + + - mitomine: Big database that works in almost all scenarios. + - cytox1: Collection of only non-redundant COXI genes from NCBI. + - voucher: Collection of only non-redundant voucher sequences from NCBI. + - ganoderma: Collection of only non-redundant mtDNA sequences of Ganoderma fungi. + - listeria: Collection of organelle sequences and other rRNA genes for Listeria. + + +---- + +.. class:: infomark + +**Testing and Validation** + +The CPIPES - nowayout Nextflow pipeline has been wrapped to make it work in Galaxy. +It takes in either paired or unpaired short reads list as an input and generates a MultiQC report +which contains relative abundances in context of number of mitochondrial reads identified. It also +generates a Krona chart for each sample. The pipeline has been tested on multiple internal insect +mixture samples. All the original testing and validation was done on the command line on the +HFP Reedling HPC Cluster. + + +---- + +.. class:: infomark + +** Please note ** + + :: + + - nowayout only works on Illumina short reads (paired or unpaired). + - nowayout uses a custom kma database named mitomine. + - The custom database will be incrementally augmented and refined over time. + - mitomine stats: + Contains ~ 2.93M non-redundant mitochondrial and voucher sequences. + Represents ~ 717K unique species. + - Other databases are also available but will be seldom updated. + +---- + +.. class:: infomark + +**Outputs** + +The main output file is a: + + :: + + - MultiQC Report: Contains a brief summary report including individual Mitochondrial reads identified + per sample and relative abundances in context of the total number of Mitochondrial reads + identified. + Please note that due to MultiQC customizations, the preview (eye icon) will not + work within Galaxy for the MultiQC report. Please download the file by clicking + on the floppy icon and view it in your browser on your local desktop/workstation. + You can export the tables and plots from the downloaded MultiQC report. + + ]]></help> + <citations> + <citation type="bibtex"> + @article{nowayout, + author = {Konganti, Kranti}, + year = {2025}, + month = {May}, + title = {nowayout: An automated mitrochiondrial read classifier for Eukaryotes.}, + journal = {Manuscript in preparation}, + doi = {10.3389/xxxxxxxxxxxxxxxxxx}, + url = {https://xxxxxxx/articles/10.3389/xxxxxxxxxxxx/full}} + </citation> + </citations> +</tool>