Mercurial > repos > florianbegusch > qiime2_suite
diff qiime2/qiime_feature-classifier_classify-consensus-blast.xml @ 0:370e0b6e9826 draft
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author | florianbegusch |
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date | Wed, 17 Jul 2019 03:05:17 -0400 |
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children | 914fa4daf16a |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/qiime2/qiime_feature-classifier_classify-consensus-blast.xml Wed Jul 17 03:05:17 2019 -0400 @@ -0,0 +1,140 @@ +<?xml version="1.0" ?> +<tool id="qiime_feature-classifier_classify-consensus-blast" name="qiime feature-classifier classify-consensus-blast" version="2019.4"> + <description> - BLAST+ consensus taxonomy classifier</description> + <requirements> + <requirement type="package" version="2019.4">qiime2</requirement> + </requirements> + <command><![CDATA[ +qiime feature-classifier classify-consensus-blast + +--i-query=$iquery +--i-reference-reads=$ireferencereads + +#if str( $id_to_taxonomy_fp.selector ) == 'history' +#set $tax = $id_to_taxonomy_fp.taxonomy_fp +--i-reference-taxonomy '$tax' +#else: +#set $tax = $id_to_taxonomy_fp.taxonomy_fp.fields.path +--i-reference-taxonomy '$tax' +#end if + + +#if $pmaxaccepts: + --p-maxaccepts=$pmaxaccepts +#end if + +#if $ppercidentity: + --p-perc-identity=$ppercidentity +#end if + +#if $pquerycov: + --p-query-cov=$pquerycov +#end if + +#if str($pstrand) != 'None': + --p-strand=$pstrand +#end if + +#if $pevalue: + --p-evalue=$pevalue +#end if + +#if $pminconsensus: + --p-min-consensus=$pminconsensus +#end if + +#if str($punassignablelabel): + --p-unassignable-label="$punassignablelabel" +#end if + +--o-classification=oclassification +; +cp oclassification.qza $oclassification + ]]></command> + <inputs> + <param format="qza,no_unzip.zip" label="--i-query: ARTIFACT FeatureData[Sequence] Sequences to classify taxonomically. [required]" name="iquery" optional="False" type="data"/> + <param format="qza,no_unzip.zip" label="--i-reference-reads: ARTIFACT FeatureData[Sequence] reference sequences. [required]" name="ireferencereads" optional="False" type="data"/> + + <conditional name="id_to_taxonomy_fp" optional="True"> + <param name="selector" type="select" label="Reference taxonomy to query"> + <option value="cached">Public databases</option> + <option value="history">Databases from your history</option> + </param> + <when value="cached"> + <param argument="--taxonomy_fp" label="Reference taxonomy" type="select" optional="True"> + <options from_data_table="qiime_taxonomy" /> + </param> + </when> + <when value="history"> + <param argument="--taxonomy_fp" type="data" format="qza,no_unzip.zip" label="Reference databases" optional="True" /> + </when> + </conditional> + + <param label="--p-maxaccepts: INTEGER Maximum number of hits to keep for each query. Must Range(1, None) be in range [1, infinity]. BLAST will choose the first N hits in the reference database that exceed perc-identity similarity to query. [default: 10]" name="pmaxaccepts" optional="True" type="integer" min="1" value="10"/> + <param label="--p-perc-identity: PROPORTION Range(0.0, 1.0, inclusive_end=True) Reject match if percent identity to query is lower. Must be in range [0.0, 1.0]. [default: 0.8]" name="ppercidentity" optional="True" type="float" min="0" max="1" exclude_max="False" value="0.8"/> + <param label="--p-query-cov: PROPORTION Range(0.0, 1.0, inclusive_end=True) Reject match if query alignment coverage per high-scoring pair is lower. Note: this uses blastn's qcov_hsp_perc parameter, and may not behave identically to the query-cov parameter used by classify-consensus-vsearch. Must be in range [0.0, 1.0]. [default: 0.8]" name="pquerycov" optional="True" min="0" max="1" exclude_max="False" type="float" value="0.8"/> + <param label="--p-strand: " name="pstrand" optional="True" type="select"> + <option selected="True" value="None">Selection is Optional</option> + <option value="both">both</option> + <option value="plus">plus</option> + <option value="minus">minus</option> + </param> + <param label="--p-evalue: NUMBER BLAST expectation value (E) threshold for saving hits. [default: 0.001]" name="pevalue" optional="True" type="float" value="0.001"/> + <param label="--p-min-consensus: NUMBER Range(0.5, 1.0, inclusive_start=False, inclusive_end=True) Minimum fraction of assignments must match top hit to be accepted as consensus assignment. Must be in range (0.5, 1.0]. [default: 0.51]" name="pminconsensus" optional="True" type="float" min="0.5" max="1" exclude_min="True" exclude_max="False" value="0.51"/> + <param label="--p-unassignable-label: TEXT [default: 'Unassigned']" name="punassignablelabel" optional="True" type="text" value="'Unassigned'"/> + </inputs> + <outputs> + <data format="qza" label="${tool.name} on ${on_string}: classification.qza" name="oclassification"/> + </outputs> + <help><![CDATA[ +BLAST+ consensus taxonomy classifier +#################################### + +Assign taxonomy to query sequences using BLAST+. Performs BLAST+ local +alignment between query and reference_reads, then assigns consensus +taxonomy to each query sequence from among maxaccepts hits, min_consensus +of which share that taxonomic assignment. Note that maxaccepts selects the +first N hits with > perc_identity similarity to query, not the top N +matches. For top N hits, use classify-consensus-vsearch. + +Parameters +---------- +query : FeatureData[Sequence] + Sequences to classify taxonomically. +reference_reads : FeatureData[Sequence] + reference sequences. +reference_taxonomy : FeatureData[Taxonomy] + reference taxonomy labels. +maxaccepts : Int % Range(1, None), optional + Maximum number of hits to keep for each query. Must be in range [1, + infinity]. BLAST will choose the first N hits in the reference database + that exceed perc_identity similarity to query. +perc_identity : Float % Range(0.0, 1.0, inclusive_end=True), optional + Reject match if percent identity to query is lower. Must be in range + [0.0, 1.0]. +query_cov : Float % Range(0.0, 1.0, inclusive_end=True), optional + Reject match if query alignment coverage per high-scoring pair is + lower. Note: this uses blastn's qcov_hsp_perc parameter, and may not + behave identically to the query_cov parameter used by classify- + consensus-vsearch. Must be in range [0.0, 1.0]. +strand : Str % Choices('both', 'plus', 'minus'), optional + Align against reference sequences in forward ("plus"), reverse + ("minus"), or both directions ("both"). +evalue : Float, optional + BLAST expectation value (E) threshold for saving hits. +min_consensus : Float % Range(0.5, 1.0, inclusive_start=False, inclusive_end=True), optional + Minimum fraction of assignments must match top hit to be accepted as + consensus assignment. Must be in range (0.5, 1.0]. +unassignable_label : Str, optional + \ + +Returns +------- +classification : FeatureData[Taxonomy] + Taxonomy classifications of query sequences. + ]]></help> +<macros> + <import>qiime_citation.xml</import> +</macros> +<expand macro="qiime_citation"/> +</tool>