Mercurial > repos > pjbriggs > pal_finder
view pal_finder_wrapper.xml @ 8:4e625d3672ba draft
Pal_finder tool version 0.02.04.7: add detection/reporting of bad ranges; enable subset of reads to be used; check n-mers.
author | pjbriggs |
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date | Wed, 16 May 2018 07:39:16 -0400 |
parents | 5e133b7b79a6 |
children | 52dbe2089d14 |
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<tool id="microsat_pal_finder" name="pal_finder" version="0.02.04.7"> <description>Find microsatellite repeat elements from sequencing reads and design PCR primers to amplify them</description> <macros> <import>pal_finder_macros.xml</import> </macros> <requirements> <requirement type="package" version="0.02.04">pal_finder</requirement> <requirement type="package" version="2.7">python</requirement> <requirement type="package" version="1.65">biopython</requirement> <requirement type="package" version="2.8.1">pandaseq</requirement> </requirements> <command detect_errors="exit_code"><![CDATA[ @CONDA_PAL_FINDER_SCRIPT_DIR@ && @CONDA_PAL_FINDER_DATA_DIR@ && bash $__tool_directory__/pal_finder_wrapper.sh #if str( $platform.platform_type ) == "illumina" #set $paired_input_type = $platform.paired_input_type_conditional.paired_input_type #if $paired_input_type == "pair_of_files" "$platform.paired_input_type_conditional.input_fastq_r1" "$platform.paired_input_type_conditional.input_fastq_r2" #else "$platform.paired_input_type_conditional.input_fastq_pair.forward" "$platform.paired_input_type_conditional.input_fastq_pair.reverse" #end if #else --454 "$platform.input_fasta" #end if $output_microsat_summary $output_pal_summary #if $report_bad_primer_ranges --bad_primer_ranges "$output_bad_primer_read_ids" #end if #if $keep_config_file --output_config_file "$output_config_file" #end if --primer-prefix "$primer_prefix" --2merMinReps $min_2mer_repeats --3merMinReps $min_3mer_repeats --4merMinReps $min_4mer_repeats --5merMinReps $min_5mer_repeats --6merMinReps $min_6mer_repeats #if str( $primer.primer_options ) == "custom" --primer-opt-size $primer.primer_opt_size --primer-min-size $primer.primer_min_size --primer-max-size $primer.primer_max_size --primer-min-gc $primer.primer_min_gc --primer-max-gc $primer.primer_max_gc --primer-gc-clamp $primer.primer_gc_clamp --primer-max-end-gc $primer.primer_max_end_gc --primer-min-tm $primer.primer_min_tm --primer-max-tm $primer.primer_max_tm --primer-opt-tm $primer.primer_opt_tm --primer-pair-max-diff-tm $primer.primer_pair_max_diff_tm #end if #if str( $mispriming.mispriming_options ) == "custom" --primer-mispriming-library $mispriming.mispriming_library #end if #if str( $platform.platform_type ) == "illumina" #if $platform.filters #for $filter in str($platform.filters).split(',') $filter --filter_microsats "$output_filtered_microsats" #end for #end if #if str( $platform.assembly ) == '-assembly' $platform.assembly "$output_assembly" #end if #set $use_all_reads = $platform.subset_conditional.use_all_reads #if str( $use_all_reads ) != "yes" --subset "$platform.subset_conditional.subset" #end if #end if ]]></command> <inputs> <param name="primer_prefix" type="text" value="test" size="25" label="Primer prefix" help="This prefix will be added to the beginning of all primer names" /> <conditional name="platform"> <param name="platform_type" type="select" label="Sequencing platform used to generate data" help="Currently pal_finder only handles Illumina paired-end reads and 454 single-end reads" > <option value="illumina" selected="true">Illumina</option> <option value="454">454</option> </param> <when value="illumina"> <conditional name="paired_input_type_conditional"> <param name="paired_input_type" type="select" label="Input Type"> <option value="pair_of_files" selected="true">Pair of datasets</option> <option value="collection">Dataset collection pair</option> </param> <when value="pair_of_files"> <param name="input_fastq_r1" type="data" format="fastqsanger" label="Illumina fastq file (read 1)" /> <param name="input_fastq_r2" type="data" format="fastqsanger" label="Illumina fastq file (read 2)" /> </when> <when value="collection"> <param name="input_fastq_pair" format="fastqsanger" type="data_collection" collection_type="paired" label="Select FASTQ dataset collection with R1/R2 pair" /> </when> </conditional> <conditional name="subset_conditional"> <param name="use_all_reads" type="boolean" label="Use all reads for microsatellite detection?" checked="True" truevalue="yes" falsevalue="no" /> <when value="no"> <param name="subset" type="text" value="0.5" label="Number or fraction of reads to use" help="Either an integer number of reads or a decimal fraction (e.g. 0.5 to select 50% of reads)" /> </when> <when value="yes" /> </conditional> <param name="filters" type="select" display="checkboxes" multiple="True" label="Filters to apply to the pal_finder results" help="Apply none, one or more filters to refine results"> <option value="-primers" selected="True">Only include loci with designed primers</option> <option value="-occurrences" selected="True">Exclude loci where the primer sequences occur more than once in the reads</option> <option value="-rankmotifs" selected="True">Only include loci with 'perfect' motifs, and rank by motif size</option> </param> <param name="assembly" type="boolean" checked="True" truevalue="-assembly" falsevalue="" label="Use PANDAseq to assemble paired-end reads and confirm primer sequences are present in high-quality assembly" /> </when> <when value="454"> <param name="input_fasta" type="data" format="fasta" label="454 fasta file with raw reads" /> </when> </conditional> <param name="min_2mer_repeats" type="integer" value="6" label="Minimum number of 2-mer repeat units to detect" min="1" help="Must detect at least one repeat of this n-mer unit" /> <param name="min_3mer_repeats" type="integer" value="0" label="Minimum number of 3-mer repeat units" help="Set to zero to ignore repeats of this n-mer unit" /> <param name="min_4mer_repeats" type="integer" value="0" label="Minimum number of 4-mer repeat units" help="Set to zero to ignore repeats of this n-mer unit" /> <param name="min_5mer_repeats" type="integer" value="0" label="Minimum number of 5-mer repeat units" help="Set to zero to ignore repeats of this n-mer unit" /> <param name="min_6mer_repeats" type="integer" value="0" label="Minimum number of 6-mer repeat units" help="Set to zero to ignore repeats of this n-mer unit" /> <conditional name="mispriming"> <param name="mispriming_options" type="select" label="Mispriming library to use" help="Specify file of nucleotide sequences to avoid amplifying (PRIMER_MISPRIMING_LIBRARY)"> <option value="default">Default from pal_finder</option> <option value="custom">Custom sequences from history</option> </param> <when value="default"> </when> <when value="custom"> <param name="mispriming_library" type="data" format="fasta" label="Select mispriming library from history" help="Fasta file containing sequences to avoid amplifying" /> </when> </conditional> <conditional name="primer"> <param name="primer_options" type="select" label="Primer settings to use" help="Advanced users can customise the settings for primer3 for more control"> <option value="default">Defaults for pal_finder</option> <option value="custom">Custom</option> </param> <when value="custom"> <param name="primer_opt_size" type="integer" value="20" label="Optimum length (in bases) of a primer (PRIMER_OPT_SIZE)" help="Primer3 will attempt to pick primers close to this length" /> <param name="primer_min_size" type="integer" value="18" label="Minimum acceptable length (in bases) of a primer (PRIMER_MIN_SIZE)" help="Must be greater than 0 and less than or equal to PRIMER_MAX_SIZE" /> <param name="primer_max_size" type="integer" value="30" label="Maximum acceptable length (in bases) of a primer (PRIMER_MAX_SIZE)" help="Currently this parameter cannot be larger than 35. This limit is governed by maximum oligo size for which primer3's melting-temperature is valid" /> <param name="primer_min_gc" type="float" value="30.0" label="Minimum allowable percentage of Gs and Cs in any primer (PRIMER_MIN_GC)" /> <param name="primer_max_gc" type="float" value="80.0" label="Maximum allowable percentage of Gs and Cs in any primer (PRIMER_MAX_GC)" /> <param name="primer_gc_clamp" type="integer" value="2" label="Specify number of consecutive Gs and Cs at 3' end of both the left and right primer (PRIMER_GC_CLAMP)" /> <param name="primer_max_end_gc" type="integer" value="5" label="Maximum number of Gs or Cs allowed in last five 3' bases of a left or right primer (PRIMER_MAX_END_GC)" /> <param name="primer_min_tm" type="float" value="58.0" label="Minimum acceptable melting temperature for a primer oligo (PRIMER_MIN_TM)" help="Temperature should be in degrees Celsius" /> <param name="primer_max_tm" type="float" value="65.0" label="Maximum acceptable melting temperature for a primer oligo (PRIMER_MAX_TM)" help="Temperature should be in degrees Celsius" /> <param name="primer_opt_tm" type="float" value="62.0" label="Optimum melting temperature for a primer (PRIMER_OPT_TM)" help="Temperature should be in degrees Celsius" /> <param name="primer_pair_max_diff_tm" type="float" value="2.0" label="Maximum acceptable difference between melting temperatures of left and right primers (PRIMER_PAIR_MAX_DIFF_TM)" help="Temperature should be in degrees Celsius" /> </when> <when value="default" /> </conditional> <param name="report_bad_primer_ranges" type="boolean" truevalue="True" falsevalue="False" label="Output IDs for input reads which generate bad primer product size ranges" help="Can be used to screen reads in input Fastqs " /> <param name="keep_config_file" type="boolean" truevalue="True" falsevalue="False" label="Output the config file to the history" help="Can be used to run pal_finder outside of Galaxy" /> </inputs> <outputs> <data name="output_pal_summary" format="tabular" label="${tool.name} on ${on_string} for ${primer_prefix}: all microsatellites (full details)" /> <data name="output_filtered_microsats" format="tabular" label="${tool.name} on ${on_string} for ${primer_prefix}: filtered microsatellites (full details)"> <filter>platform['platform_type'] == 'illumina' and platform['filters'] is not None</filter> </data> <data name="output_microsat_summary" format="txt" label="${tool.name} on ${on_string} for ${primer_prefix}: summary of microsatellite types" /> <data name="output_assembly" format="tabular" label="${tool.name} on ${on_string} for ${primer_prefix}: assembly"> <filter>platform['assembly'] is True</filter> </data> <data name="output_bad_primer_read_ids" format="tabular" label="${tool.name} on ${on_string} for ${primer_prefix}: read IDs generating bad primer ranges"> <filter>report_bad_primer_ranges is True</filter> </data> <data name="output_config_file" format="txt" label="${tool.name} on ${on_string} for ${primer_prefix}: config file"> <filter>keep_config_file is True</filter> </data> </outputs> <tests> <!-- Test with Illumina input --> <test> <param name="platform_type" value="illumina" /> <param name="input_fastq_r1" value="illuminaPE_r1.fq" ftype="fastqsanger" /> <param name="input_fastq_r2" value="illuminaPE_r2.fq" ftype="fastqsanger" /> <expand macro="output_illumina_microsat_summary" /> <output name="output_pal_summary" compare="re_match" file="illuminaPE_microsats.out.re_match" /> <output name="output_filtered_microsats" compare="re_match" file="illuminaPE_filtered_microsats.out.re_match" /> <output name="output_assembly" file="illuminaPE_assembly_after_filters.out" /> </test> <!-- Test with Illumina input as dataset pair --> <test> <param name="platform_type" value="illumina" /> <param name="paired_input_type" value="collection" /> <param name="input_fastq_pair"> <collection type="paired"> <element name="forward" value="illuminaPE_r1.fq" ftype="fastqsanger" /> <element name="reverse" value="illuminaPE_r2.fq" ftype="fastqsanger" /> </collection> </param> <expand macro="output_illumina_microsat_summary" /> <output name="output_pal_summary" compare="re_match" file="illuminaPE_microsats.out.re_match" /> <output name="output_filtered_microsats" compare="re_match" file="illuminaPE_filtered_microsats.out.re_match" /> <output name="output_assembly" file="illuminaPE_assembly_after_filters.out" /> </test> <!-- Test with Illumina input filter to loci with PandaSEQ assembly ('-assembly' option) --> <test> <param name="platform_type" value="illumina" /> <param name="filters" value="" /> <param name="input_fastq_r1" value="illuminaPE_r1.fq" ftype="fastqsanger" /> <param name="input_fastq_r2" value="illuminaPE_r2.fq" ftype="fastqsanger" /> <expand macro="output_illumina_microsat_summary" /> <output name="output_pal_summary" compare="re_match" file="illuminaPE_microsats.out.re_match" /> <output name="output_assembly" file="illuminaPE_assembly.out" /> </test> <!-- Test with Illumina input filter to loci with primers ('-primers' option) --> <test> <param name="platform_type" value="illumina" /> <param name="filters" value="-primers" /> <param name="assembly" value="false" /> <param name="input_fastq_r1" value="illuminaPE_r1.fq" ftype="fastqsanger" /> <param name="input_fastq_r2" value="illuminaPE_r2.fq" ftype="fastqsanger" /> <expand macro="output_illumina_microsat_summary" /> <output name="output_pal_summary" compare="re_match" file="illuminaPE_microsats.out.re_match" /> <output name="output_filtered_microsats" compare="re_match" file="illuminaPE_filtered_microsats_primers.out.re_match" /> </test> <!-- Test with Illumina input filter to loci which appear only once ('-occurrences' option) --> <test> <param name="platform_type" value="illumina" /> <param name="filters" value="-occurrences" /> <param name="assembly" value="false" /> <param name="input_fastq_r1" value="illuminaPE_r1.fq" ftype="fastqsanger" /> <param name="input_fastq_r2" value="illuminaPE_r2.fq" ftype="fastqsanger" /> <expand macro="output_illumina_microsat_summary" /> <output name="output_pal_summary" compare="re_match" file="illuminaPE_microsats.out.re_match" /> <output name="output_filtered_microsats" compare="re_match" file="illuminaPE_filtered_microsats_occurrences.out.re_match" /> </test> <!-- Test with Illumina input filter and rank loci with perfect motifs ('-rankmotifs' option) --> <test> <param name="platform_type" value="illumina" /> <param name="filters" value="-rankmotifs" /> <param name="assembly" value="false" /> <param name="input_fastq_r1" value="illuminaPE_r1.fq" ftype="fastqsanger" /> <param name="input_fastq_r2" value="illuminaPE_r2.fq" ftype="fastqsanger" /> <expand macro="output_illumina_microsat_summary" /> <output name="output_pal_summary" compare="re_match" file="illuminaPE_microsats.out.re_match" /> <output name="output_filtered_microsats" compare="re_match" file="illuminaPE_filtered_microsats_rankmotifs.out.re_match" /> </test> <!-- Test with Illumina input using subset of reads --> <test> <param name="platform_type" value="illumina" /> <param name="filters" value="" /> <param name="assembly" value="false" /> <param name="use_all_reads" value="no" /> <param name="subset" value="0.5" /> <param name="input_fastq_r1" value="illuminaPE_r1.fq" ftype="fastqsanger" /> <param name="input_fastq_r2" value="illuminaPE_r2.fq" ftype="fastqsanger" /> <expand macro="output_illumina_microsat_subset_summary" /> <output name="output_pal_summary" compare="re_match" file="illuminaPE_microsats_subset.out.re_match" /> </test> <!-- Test with Illumina input filter that doesn't find any microsatellites --> <test expect_failure="true"> <param name="platform_type" value="illumina" /> <param name="filters" value="" /> <param name="assembly" value="false" /> <param name="min_2mer_repeats" value="8" /> <param name="input_fastq_r1" value="illuminaPE_r1_no_microsats.fq" ftype="fastqsanger" /> <param name="input_fastq_r2" value="illuminaPE_r2_no_microsats.fq" ftype="fastqsanger" /> <assert_stderr> <has_text text="pal_finder failed to locate any microsatellites" /> </assert_stderr> </test> <!-- Test with Illumina input generating bad ranges --> <test> <param name="platform_type" value="illumina" /> <param name="filters" value="" /> <param name="assembly" value="false" /> <param name="min_2mer_repeats" value="8" /> <param name="input_fastq_r1" value="illuminaPE_r1_bad_ranges.fq" ftype="fastqsanger" /> <param name="input_fastq_r2" value="illuminaPE_r2_bad_ranges.fq" ftype="fastqsanger" /> <param name="min_2mer_repeats" value="8" /> <param name="min_3mer_repeats" value="8" /> <param name="min_4mer_repeats" value="8" /> <param name="min_5mer_repeats" value="8" /> <param name="min_6mer_repeats" value="8" /> <param name="primer_options" value="custom" /> <param name="primer_opt_size" value="25" /> <param name="primer_min_size" value="21" /> <param name="primer_max_size" value="30" /> <param name="primer_min_gc" value="40.0" /> <param name="primer_max_gc" value="60.0" /> <param name="primer_gc_clamp" value="3" /> <param name="primer_max_end_gc" value="5" /> <param name="primer_min_tm" value="60.0" /> <param name="primer_max_tm" value="80.0" /> <param name="primer_opt_tm" value="68.0" /> <param name="primer_pair_max_diff_tm" value="3.0" /> <param name="report_bad_primer_ranges" value="true" /> <expand macro="output_illumina_microsat_summary_bad_ranges" /> <output name="output_pal_summary" compare="re_match" file="illuminaPE_microsats_bad_ranges.out.re_match" /> <output name="output_bad_primer_read_ids" file="illuminaPE_bad_primer_read_ids.out" /> </test> <!-- Test with bad n-mers specified --> <test expect_failure="true"> <param name="platform_type" value="illumina" /> <param name="filters" value="" /> <param name="assembly" value="false" /> <param name="min_2mer_repeats" value="8" /> <param name="min_3mer_repeats" value="8" /> <param name="min_4mer_repeats" value="0" /> <param name="min_5mer_repeats" value="8" /> <param name="min_6mer_repeats" value="8" /> <param name="input_fastq_r1" value="illuminaPE_r1_no_microsats.fq" ftype="fastqsanger" /> <param name="input_fastq_r2" value="illuminaPE_r2_no_microsats.fq" ftype="fastqsanger" /> <assert_stderr> <has_text text="Minimum number of 4-mers cannot be zero if number of 5-mers is non-zero" /> </assert_stderr> </test> <!-- Test with 454 input --> <test> <param name="platform_type" value="454" /> <param name="input_fasta" value="454_in.fa" ftype="fasta" /> <expand macro="output_454_microsat_summary" /> <output name="output_pal_summary" compare="re_match" file="454_microsats.out.re_match" /> </test> </tests> <help> .. class:: infomark **What it does** This tool runs the pal_finder program, which finds microsatellite repeat elements directly from raw 454 or Illumina paired-end sequencing reads. It then designs PCR primers to amplify these repeat loci (Potentially Amplifiable Loci: PAL). Optionally for Illumina data, one or more filters can be applied to the output from pal_finder to: * Only include loci with designed primers * Exclude loci where the primer sequences occur more than once in the reads * Only include loci with 'perfect' motifs (and rank by motif size,largest to smallest) * Use PANDAseq to assemble paired-end reads and confirm primer sequences are present in high-quality assembly Pal_finder runs the primer3_core program; information on the settings used in primer3_core can be found in the Primer3 manual at http://primer3.sourceforge.net/primer3_manual.htm ------------- .. class:: infomark **Known issues** .. class:: warning **Low number of reads used for microsatellite detection/bad primer product size ranges** For some datasets pal_finder may generate 'bad' product size ranges (where the lower limit exceeds the upper limit) for one or more reads, for input into primer3_core. In these cases primer3_core will terminate prematurely, which can result in a substantially lower number of reads being used for microsatellite detection and potentially sub-optimal primer design. The number of reads generating the bad size ranges are reported in the *Summary of microsat types* output dataset as 'readsWithBadRanges'. Ideally the reported value should be zero. The conditions which cause this issue within pal_finder are still unclear, however we believe it to be associated with short or low quality reads. If this problem affects your data then: * Ensure that the input data are sufficiently trimmed and filtered (using e.g. the Trimmomatic tool) before rerunning pal_finder. * A list of read IDs for which pal_finder generates bad product size ranges can be output by turning on *Output IDs for input reads which generate bad primer ranges*. This outputs an additional dataset with a list of read IDs which can be used to remove read pairs from the input Fastq files (using e.g. the *Filter sequences by ID* tool) before rerunning pal_finder. .. class:: warning **Pal_finder takes a long time to run for large input datasets** pal_finder was originally developed using MiSeq data, and is not optimised for working with the larger Fastqs that are output from other platforms such as HiSeq and NextSeq. As a consequence pal_finder may take a very long time to complete when operating on larger datasets. If this is a problem then the tool can be run using a subset of the input reads by unchecking the *Use all reads...* option and entering either an integer number of reads to use, or a decimal fraction (e.g. 0.5 will select 50% of the reads). ------------- .. class:: infomark **Credits** This Galaxy tool has been developed by Peter Briggs within the Bioinformatics Core Facility at the University of Manchester. It runs the pal_finder package which can be obtained from http://sourceforge.net/projects/palfinder/: * PLoS One. 2012; 7(2): e30953 "Rapid Microsatellite Identification from Illumina Paired-End Genomic Sequencing in Two Birds and a Snake" Todd A. Castoe, Alexander W. Poole, A. P. Jason de Koning, Kenneth L. Jones, Diana F. Tomback, Sara J. Oyler-McCance, Jennifer A. Fike, Stacey L. Lance, Jeffrey W. Streicher, Eric N. Smith, and David D. Pollock The paper is available at http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3279355/ This tool is compatible with pal_finder version 0.02.04, which in turn runs the primer3_core program (version 2.0.0-alpha is required, available from http://primer3.sourceforge.net/releases.php): * Steve Rozen and Helen J. Skaletsky (2000) "Primer3 on the WWW for general users and for biologist programmers". In: Krawetz S, Misener S (eds) Bioinformatics Methods and Protocols: Methods in Molecular Biology. Humana Press, Totowa, NJ, pp 365-386 The paper is available at http://purl.com/STEVEROZEN/papers/rozen-and-skaletsky-2000-primer3.pdf The filtering and assembly of the pal_finder output for Illumina data is performed using a Python utility written by Graeme Fox at the University of Manchester, and which is included with this tool; this utility uses the BioPython and PANDAseq packages. Please kindly acknowledge both this Galaxy tool, the pal_finder and primer3 packages, and the utility script and its dependencies if you use it in your work. </help> <citations> <!-- See https://wiki.galaxyproject.org/Admin/Tools/ToolConfigSyntax#A.3Ccitations.3E_tag_set Can be either DOI or Bibtex Use http://www.bioinformatics.org/texmed/ to convert PubMed to Bibtex --> <citation type="doi">10.1371/journal.pone.0030953</citation> <citation type="bibtex">@Article{pmid10547847, Author="Rozen, S. and Skaletsky, H. ", Title="{{P}rimer3 on the {W}{W}{W} for general users and for biologist programmers}", Journal="Methods Mol. Biol.", Year="2000", Volume="132", Pages="365--386", URL="{http://purl.com/STEVEROZEN/papers/rozen-and-skaletsky-2000-primer3.pdf}" }</citation> <citation type="doi">10.1093/bioinformatics/btp163</citation> <citation type="doi">10.1186/1471-2105-13-31</citation> </citations> </tool>