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annotate nf/subworkflows/ncbi/target_proteins/miniprot/main.nf @ 2:a3b158471bd3 draft

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planemo upload for repository https://github.com/ncbi/egapx commit 98875ef7eda9323fc9991970103954e9097d9e73
author fubar
date Sun, 04 Aug 2024 00:06:43 +0000
parents d9c5c5b87fec
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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d9c5c5b87fec planemo upload for repository https://github.com/ncbi/egapx commit 8173d01b08d9a91c9ec5f6cb50af346edc8020c4
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1 #!/usr/bin/env nextflow
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3 nextflow.enable.dsl=2
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5 include { merge_params } from '../../utilities'
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8 def get_effective_params(parameters, max_intron) {
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9 def default_params = "-t 8 -G ${max_intron}"
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10 def value = parameters.get("miniprot", "")
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11 value = value.replaceFirst("-cpu-count", "-t")
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12 value = value.replaceFirst("-max-intron", "-G")
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13 parameters['miniprot'] = value
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14 def effective_params = merge_params(default_params, parameters, "miniprot")
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15 return effective_params
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16 }
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18 workflow miniprot {
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19 take:
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20 fasta_genome_file //path: genome fasta file
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21 fasta_proteins_file //path: protein fasta file
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22 max_intron //int: max intron length
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23 parameters // Map : extra parameter and parameter update
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24 main:
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25 // println("Miniprot max intron: ${max_intron}")
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26 def items_per_chunk = merge_params("-n 1000000000", parameters, "split_proteins").replaceFirst("-n ", "").toInteger()
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27 def protein_chunks
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28 if (items_per_chunk == 1000000000) {
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29 protein_chunks = fasta_proteins_file
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30 } else {
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31 protein_chunks = split_proteins(fasta_proteins_file, items_per_chunk)
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32 }
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33 run_miniprot(fasta_genome_file, protein_chunks.flatten(), max_intron, parameters)
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35 emit:
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36 miniprot_file = run_miniprot.out.miniprot_file
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37 }
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39
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40 process split_proteins {
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41 input:
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42 path fasta_proteins_file
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43 val items_per_chunk
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44 output:
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45 path 'output/*'
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46 script:
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47 """
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48 #!/usr/bin/env python3
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49 import os
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50
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51 os.makedirs("output", exist_ok=True)
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52 with open("${fasta_proteins_file}", 'rt') as f:
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53 items = 0
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54 chunk = []
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55 nextfile = 1
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56 for line in f:
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57 if line and line[0] == '>':
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58 items += 1
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59 if items >= ${items_per_chunk}:
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60 with open(f"output/{nextfile}.fa", "w") as outf:
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61 outf.write(''.join(chunk))
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62 chunk = []
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63 nextfile += 1
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64 items = 1
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65 chunk.append(line)
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66 if chunk:
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67 with open(f"output/{nextfile}.fa", "w") as outf:
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68 outf.write(''.join(chunk))
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69 """
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70 stub:
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71 print("items_per_chunk ${items_per_chunk}")
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72 """
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73 mkdir -p output
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74 touch output/1.fa
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75 touch output/2.fa
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76 touch output/3.fa
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77 """
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78 }
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79
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80
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81 process run_miniprot {
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82 label 'huge_job'
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83 label 'long_job'
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84 input:
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85 path fasta_genome_file
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86 path fasta_proteins_file
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87 val max_intron
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88 val parameters
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89 output:
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90 path ('output/*.paf'), emit: 'miniprot_file'
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91
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92 script:
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93 def paf_name = fasta_proteins_file.baseName.toString() + ".paf"
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94 def effective_params = get_effective_params(parameters, max_intron)
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95 // println("Miniprot params: ${effective_params}")
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96 """
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97 mkdir -p output
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98 miniprot ${effective_params} ${fasta_genome_file} ${fasta_proteins_file} > output/${paf_name}
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99 """
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100 stub:
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101 def paf_name = fasta_proteins_file.baseName.toString() + ".paf"
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102 def effective_params = get_effective_params(parameters, max_intron)
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103 println("Miniprot params: ${effective_params}")
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104 """
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105 mkdir -p output
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106 touch output/${paf_name}
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107 """
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108 }