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featurestein uses own input
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src/nextflow/xchem/expand-tether-dock-score.nf

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@@ -1,7 +1,7 @@
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#!/usr/bin/env nextflow
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// expand params
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params.hits = 'data/mpro/hits-17.sdf.gz'
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params.hits = 'data/mpro/hits-5.sdf.gz'
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params.chunk_size_expand = 200
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params.limit = 0
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params.digits = 4
@@ -26,12 +26,14 @@ params.asfile = 'data/mpro/docking-tethered.as'
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params.num_dockings = 5
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// featurestein
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params.fragments = 'data/mpro/hits-5.sdf.gz'
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// files
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hits = file(params.hits)
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protein = file(params.protein)
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prmfile = file(params.prmfile)
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asfile = file(params.asfile)
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fragments = file(params.fragments)
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process fragnet_expand {
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@@ -125,13 +127,13 @@ process gen_feat_maps {
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container 'informaticsmatters/rdkit_pipelines:latest'
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input:
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file hits
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file fragments
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output:
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file 'featurestein.p' into fmaps
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"""
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python -m pipelines.xchem.featurestein_generate -i '$hits' -f featurestein.p
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python -m pipelines.xchem.featurestein_generate -i '$fragments' -f featurestein.p
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"""
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}
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