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planemo upload for repository https://github.com/bgruening/galaxytools/tools/GraphClust/AggregateAlignments commit 4406735e44aba20859c252be39f4e99df28c7a92
author | rnateam |
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date | Sat, 27 Oct 2018 13:20:46 -0400 |
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<tool id="graphclust_aggregate_alignments" name="Aggregate and filter alignment metrics" version="0.1"> <description>of individual clusters, like the output of graphclust_align_cluster</description> <requirements> <requirement type="package" version="0.6.0">graphclust-wrappers</requirement> <requirement type="package" version="0.23.0">pandas</requirement> </requirements> <command detect_errors="exit_code"> <![CDATA[ mkdir ./clusters_metrics && #import re #for $tsv in $alignment_cons_tsv: #set $safename_tsv = re.sub('[^\w\-_\.]', '_', $tsv.element_identifier) ln -f -s '$tsv' ./clusters_metrics/${safename_tsv}.tsv && #end for aggregate_align_metrics.py --RNAz-prob-threshold $RNAz_prob_threshold --rscape-bp-threshold $rscape_bp_threshold --min-seq-num $min_seq_num $exclude_spurious_structs $additonal_columns --clusters-tsv-pattern "clusters_metrics/*.tsv" --filtered-tsv-out filtered-alignment-metrics.tsv --bed-out bed-cluster-locations.bed ]]></command> <inputs> <param type="data" name="alignment_cons_tsv" format="tabular" multiple="True" label="conservation-metrics-tsv" help="Tabular tsv file of the computed conservation metrics from align cluster step"/> <param argument="min_seq_num" type="integer" value="3" label="Minimum cluster size" help="Clusters with fewer seqeunces are excluded"/> <param argument="RNAz_prob_threshold" type="float" value="0.5" label="RNAz bed threshold" help="Minimum RNAz SVM RNA-class probablity for bed annotation as RNAz hit"/> <param argument="rscape_bp_threshold" type="integer" value="2" label="Rscape bed threshold" help="Minimum number of significant covarying basepairs by Rscape for bed annotation as Rscape hit"/> <param name="exclude_spurious_structs" type="boolean" checked="True" truevalue="--exclude-spurious-structs" falsevalue="" help="Exclude spurious alignment structs with poor SCI less than 0.01"/> <param name="additonal_columns" type="boolean" checked="False" truevalue="--all-columns" falsevalue="" help="Output additional prediction metrics"/> </inputs> <outputs> <data name="filtered_tsv" format="tabular" from_work_dir="filtered-alignment-metrics.tsv" label="filtered-alignment-metrics.tsv" /> <data name="bed_clusters" format="tabular" from_work_dir="bed-cluster-locations.bed" label="bed-cluster-locations.bed" /> </outputs> <tests> <test> <param name="alignment_cons_tsv" value="1.alignment.cons.tsv,2.alignment.cons.tsv,3.alignment.cons.tsv"/> <output name="filtered_tsv" file="metrics1.tsv" /> <output name="bed_clusters" file="clusters1.bed" /> </test> </tests> <help><![CDATA[ Aggregate and filter alignment metrics of individual clusters, like the output of graphclust_align_cluster ]]></help> <citations> <citation type="doi">10.5281/zenodo.597695</citation> </citations> </tool>