|
| 1 | +SATURATION_OUT = Channel.fromPath("${OUTPUT}/saturation/prediction/*.model.*.features.*.prediction.tsv.gz") |
| 2 | +GENE_TTYPE_SATURATION_OUT = SATURATION_OUT.map{ it -> [it.baseName.split('\\.')[0], it.baseName.split('\\.')[2], it.baseName.split('\\.')[4]]} |
| 3 | + |
| 4 | + |
| 5 | +process Blueprints { |
| 6 | + tag "Generate blueprints for gene=${gene} model=${ttype_model} features=${ttype_features}" |
| 7 | + label "boostdm" |
| 8 | + publishDir "${OUTPUT}/output_plots/blueprints", mode: 'copy' |
| 9 | + |
| 10 | + input: |
| 11 | + tuple val(gene), val(ttype_model), val(ttype_features) from GENE_TTYPE_SATURATION_OUT |
| 12 | + |
| 13 | + output: |
| 14 | + path("${gene}.model.${ttype_model}.features.${ttype_features}.*") into OUT_BLUEPRINT |
| 15 | + |
| 16 | + script: |
| 17 | + |
| 18 | + """ |
| 19 | + runner.sh output_plots/blueprint.py \ |
| 20 | + --gene ${gene} \ |
| 21 | + --ttmodel ${ttype_model} \ |
| 22 | + --ttfeatures ${ttype_features} |
| 23 | + """ |
| 24 | +} |
| 25 | + |
| 26 | + |
| 27 | +process ClusteredBlueprints { |
| 28 | + tag "Generate all blueprint stacks with hierarchical clustering" |
| 29 | + label "boostdm" |
| 30 | + publishDir "${OUTPUT}/output_plots/clustered_blueprints", mode: 'copy' |
| 31 | + |
| 32 | + output: |
| 33 | + path("*.clustered_blueprint.*") into OUT_CLUSTERED_BLUEPRINT |
| 34 | + |
| 35 | + script: |
| 36 | + |
| 37 | + """ |
| 38 | + runner.sh output_plots/clustered_blueprint.py |
| 39 | + """ |
| 40 | +} |
| 41 | + |
| 42 | + |
| 43 | +TRAINING_OUT = Channel.fromPath("${OUTPUT}/training_meta/*/*.models.pickle.gz") |
| 44 | +GENE_TTYPE_TRAINING_OUT = TRAINING_OUT.map{ it -> [it.baseName.split('\\.')[0], it.getParent().baseName]} |
| 45 | + |
| 46 | +process DiscoveryBending { |
| 47 | + tag "Generate inverse exponential fit with unique mutation count in subsamples for gene=${gene} ttype=${ttype}" |
| 48 | + label "boostdm" |
| 49 | + publishDir "${OUTPUT}/output_plots/discovery_bending", mode: 'copy' |
| 50 | + |
| 51 | + input: |
| 52 | + tuple val(gene), val(ttype) from GENE_TTYPE_TRAINING_OUT |
| 53 | + |
| 54 | + output: |
| 55 | + path("*.*.bending.*") into OUT_DISCOVERY_BENDING |
| 56 | + |
| 57 | + script: |
| 58 | + |
| 59 | + """ |
| 60 | + runner.sh output_plots/discovery_plot.py \ |
| 61 | + --gene ${gene} \ |
| 62 | + --ttmodel ${ttype} |
| 63 | + """ |
| 64 | +} |
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