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denovo.nf
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denovo.nf
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params.ms_instrument = "Lumos"
params.ms_energy = 0.34
params.prefix = "test"
params.mem = 80
instrument = params.ms_instrument
energy = params.ms_energy
threads = params.cpu
memory = params.mem
spectrum_file = file(params.ms_file)
output_path = file(params.out_dir)
sample = params.prefix
process run_novor {
tag "$sample"
container "0731wsk/novor"
containerOptions "--user root"
publishDir "${output_path}/psm", mode: "copy", overwrite: true
input:
file (spectrum_file)
output:
file ('./denovo.csv') into result_file_ch1
script:
"""
#!/bin/sh
mkdir psm
python ${baseDir}/bin/add_scan.py $spectrum_file ./temp.mgf
novor.sh -p ${baseDir}/config/novor_params.txt -f ./temp.mgf -o ./denovo.csv
"""
}
process convert_novor {
tag "$sample"
container "0731wsk/proteomics"
containerOptions "--user root"
publishDir "${output_path}/psm", mode: "copy", overwrite: true
input:
file (result_file) from result_file_ch1
output:
file ('./result.txt') into result_file_ch2
script:
"""
#!/bin/sh
python3 ${baseDir}/bin/novor_convert.py $result_file ./result.txt
"""
}
process generate_input {
tag "$sample"
container "0731wsk/proteomics"
containerOptions "--gpus all"
containerOptions "--user root"
publishDir "${output_path}", mode: "copy", overwrite: true
input:
file (spectrum_file)
file (result_file) from result_file_ch2
output:
file("${sample}-rawPSMs.txt") into pga_results_ch1
file("${sample}-rawPSMs.txt") into pga_results_ch2
file("./pDeep2_prediction/") into pDeep2_prediction_ch
file("./autoRT_train/") into autoRT_train_ch
file("./autoRT_prediction/") into autoRT_prediction_ch
file('./predfull') into predfull_ch
script:
"""
#!/bin/sh
mkdir autoRT_train autoRT_prediction pDeep2_prediction predfull
python3 ${baseDir}/bin/generate_input.py $result_file $spectrum_file \
./${sample}-rawPSMs.txt \
./autoRT_train/autort.txt ./autoRT_prediction/autort.txt\
./pDeep2_prediction/${sample}_pdeep2_prediction.txt ./pDeep2_prediction/${sample}_pdeep2_prediction_unique.txt\
denovo
"""
}
process run_predfull {
tag "$sample"
container "0731wsk/predfull"
containerOptions "--gpus all"
publishDir "${output_path}/predfull/", mode: "copy", overwrite: true
input:
file (result_file) from result_file_ch2
file (predfull) from predfull_ch
output:
file ("./predict.mgf") into pred_spectrum
script:
"""
#!/bin/sh
python3 /home/Predfull/predfull.py \
--input $result_file \
--model /home/Predfull/pm.h5 \
--output predict.mgf
"""
}
process process_predfull_result{
tag "$sample"
accelerator 1
container "0731wsk/proteomics"
containerOptions "--gpus all"
publishDir "${output_path}/predfull/", mode: "copy", overwrite: true
input:
file (spectrum_file)
file (predfull_result) from pred_spectrum
output:
file("./full_similarity.txt") into predfull_similarity
script:
"""
#!/bin/sh
python3 ${baseDir}/bin/spectrum_compare.py --real $spectrum_file --pred $predfull_result \
--output ./full_similarity.txt
"""
}
process run_pdeep2 {
tag "$sample"
container "0731wsk/pdeep2:latest"
publishDir "${output_path}/pDeep2_prediction/", mode: "copy", overwrite: true
input:
file(pdeep2_folder) from pDeep2_prediction_ch
file(predfull_result) from predfull_similarity
output:
set file("${sample}_pdeep2_prediction_results.txt"), file{"${pdeep2_folder}/${sample}_pdeep2_prediction.txt"} into pDeep2_results_ch
script:
"""
#export CUDA_VISIBLE_DEVICES=""
python /opt/pDeep2/predict.py -e $energy -i $instrument -in ${pdeep2_folder}/${sample}_pdeep2_prediction_unique.txt -out ./${sample}_pdeep2_prediction_results.txt
"""
}
process process_pDeep2_results {
tag "$sample"
container "0731wsk/proteomics"
containerOptions "--gpus all"
publishDir "${output_path}/pDeep2_prediction/", mode: "copy", overwrite: true
input:
file (rawPSMs_file) from pga_results_ch1
file (spectrum_file)
set file(pDeep2_results), file(pDeep2_prediction) from pDeep2_results_ch
output:
set file("./${sample}_format_titles.txt"), file("./${sample}_spectrum_pairs.txt"), file("./${sample}_similarity_SA.txt") into similarity_ch
file ("./${sample}_similarity_SA.txt") into pDee2_next_ch
script:
"""
#!/bin/sh
mv $pDeep2_results ${pDeep2_results}.mgf
Rscript ${baseDir}/bin/format_pDeep2_titile.R $pDeep2_prediction $rawPSMs_file ./${sample}_format_titles.txt
python3 ${baseDir}/bin/calculate_sa.py ./${sample}_format_titles.txt $spectrum_file ${pDeep2_results}.mgf ./${sample}_spectrum_pairs.txt
mkdir sections sections_results
Rscript ${baseDir}/bin/similarity/devide_file.R ./${sample}_spectrum_pairs.txt $threads ./sections/
for file in ./sections/*
do
name=`basename \$file`
Rscript ${baseDir}/bin/similarity/calculate_similarity_SA.R \$file ./sections_results/\${name}_results.txt &
done
wait
awk 'NR==1 {header=\$_} FNR==1 && NR!=1 { \$_ ~ \$header getline; } {print}' ./sections_results/*_results.txt > ./${sample}_similarity_SA.txt
"""
}
process train_autoRT {
tag "$sample"
accelerator 1
container "0731wsk/autort:latest"
containerOptions "--gpus all"
publishDir "${output_path}/autoRT_train/", mode: "copy", overwrite: true
input:
file(autoRT_train_folder) from autoRT_train_ch
file(sa_file) from pDee2_next_ch
output:
file ("./autoRT_models/") into model_prediction_ch
script:
"""
#!/bin/sh
set -e
mkdir -p ./autoRT_models
for file in ${autoRT_train_folder}/*.txt
do
fraction=`basename \${file} .txt`
mkdir -p ./autoRT_models/\${fraction}
python /opt/AutoRT/autort.py train \
-i \$file \
-o ./autoRT_models/\${fraction} \
-e 40 \
-b 64 \
-u m \
-m /opt/AutoRT/models/base_models_PXD006109/model.json \
-rlr \
-n 10
done
wait
"""
}
process predict_autoRT {
tag "$sample"
container "0731wsk/autort:latest"
containerOptions "--gpus all"
publishDir "${output_path}/autoRT_prediction/", mode: "copy", overwrite: true
input:
file autoRT_prediction_folder from autoRT_prediction_ch
file (autoRT_models_folder) from model_prediction_ch
output:
file("./results") into autoRT_results_ch
script:
"""
#!/bin/sh
set -e
mkdir -p ./results
for file in ${autoRT_prediction_folder}/*.txt
do
fraction=`basename \${file} .txt`
mkdir -p ./\${fraction}
python /opt/AutoRT/autort.py predict \
-t \$file \
-s ${autoRT_models_folder}/\${fraction}/model.json \
-o ./\${fraction} \
-p \${fraction}
done
for file in ${autoRT_prediction_folder}/*.txt
do
fraction=`basename \${file} .txt`
cp ./\${fraction}/\${fraction}.tsv ./results/
done
wait
awk 'NR==1 {header=\$_} FNR==1 && NR!=1 { \$_ ~ \$header getline; } {print}' ./results/*.tsv \
> ./results/${sample}_results.txt
"""
}
process generate_feature{
tag "$sample"
container "0731wsk/proteomics"
containerOptions "--gpus all"
containerOptions "--user root"
publishDir "${output_path}", mode: "copy", overwrite: true
input:
file(rawPSMs_file) from pga_results_ch2
set file(similarity_title_file), file(similarity_pair_file), file(similarity_SA_file) from similarity_ch
file(autoRT_result_folder) from autoRT_results_ch
file(predfull_result) from predfull_similarity
output:
file("./features") into features
script:
"""
#!/bin/sh
mkdir features
python3 ${baseDir}/bin/generate_feature.py $rawPSMs_file $similarity_SA_file \
$autoRT_result_folder/${sample}_results.txt $predfull_result\
features/denovo_feature.txt\
denovo
"""
}