GENERATE.sh

#!/bin/bash
#
#
# Usage: GENERATE.sh <local|cluster> <fresh|continue-incomplete>
#
# cluster mode uses an HPC cluster (Mount Sinai chimera cluster, which uses lsf job
# scheduler). This would need to be modified for other sites.
#
set -e
set -x

DOWNLOAD_NAME=data_evaluation
SCRATCH_DIR=${TMPDIR-/tmp}/mhcflurry-downloads-generation
SCRIPT_ABSOLUTE_PATH="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/$(basename "${BASH_SOURCE[0]}")"
SCRIPT_DIR=$(dirname "$SCRIPT_ABSOLUTE_PATH")

mkdir -p "$SCRATCH_DIR"
if [ "$2" != "continue-incomplete" ]
then
    echo "Fresh run"
    rm -rf "$SCRATCH_DIR/$DOWNLOAD_NAME"
    mkdir "$SCRATCH_DIR/$DOWNLOAD_NAME"
else
    echo "Continuing incomplete run"
fi

# Send stdout and stderr to a logfile included with the archive.
LOG="$SCRATCH_DIR/$DOWNLOAD_NAME/LOG.$(date +%s).txt"
exec >  >(tee -ia "$LOG")
exec 2> >(tee -ia "$LOG" >&2)

# Log some environment info
echo "Invocation: $0 $@"
date
pip freeze
git status
mhcflurry-downloads info

cd $SCRATCH_DIR/$DOWNLOAD_NAME

export OMP_NUM_THREADS=1
export PYTHONUNBUFFERED=1
export MHCFLURRY_DEFAULT_PREDICT_BATCH_SIZE=16384

if [ "$2" == "continue-incomplete" ] && [ -f "hits_with_tpm.csv.bz2" ]
then
    echo "Reusing existing expression-annotated hits data"
else
    cp $SCRIPT_DIR/annotate_hits_with_expression.py .
    time python annotate_hits_with_expression.py \
        --hits "$(mhcflurry-downloads path data_mass_spec_annotated)/annotated_ms.csv.bz2" \
        --expression "$(mhcflurry-downloads path data_curated)/rna_expression.csv.bz2" \
        --out "$(pwd)/hits_with_tpm.csv"
    bzip2 -f hits_with_tpm.csv
fi

### GENERATE BENCHMARK: MONOALLELIC
for kind in train_excluded all
do
    EXCLUDE_TRAIN_DATA=""
    if [ "$kind" == "train_excluded" ]
    then
        EXCLUDE_TRAIN_DATA="$(mhcflurry-downloads path models_class1_pan_variants)/models.no_additional_ms/train_data.csv.bz2"
    fi

    if [ "$2" == "continue-incomplete" ] && [ -f "benchmark.monoallelic.$kind.csv.bz2" ]
    then
        echo "Reusing existing monoallelic benchmark: benchmark.monoallelic.$kind.csv.bz2"
    else
        cp $SCRIPT_DIR/make_benchmark.py .
        time python make_benchmark.py \
            --hits "$(pwd)/hits_with_tpm.csv.bz2" \
            --proteome-peptides "$(mhcflurry-downloads path data_mass_spec_benchmark)/proteome_peptides.all.csv.bz2" \
            --decoys-per-hit 110 \
            --exclude-train-data "$EXCLUDE_TRAIN_DATA" \
            --only-format MONOALLELIC \
            --out "$(pwd)/benchmark.monoallelic.$kind.csv"
        bzip2 -f benchmark.monoallelic.$kind.csv
    fi
done

### GENERATE BENCHMARK: MULTIALLELIC
for kind in train_excluded all
do
    EXCLUDE_TRAIN_DATA=""
    if [ "$kind" == "train_excluded" ]
    then
        EXCLUDE_TRAIN_DATA="$(mhcflurry-downloads path models_class1_pan)/models.combined/train_data.csv.bz2"
    fi

    if [ "$2" == "continue-incomplete" ] && [ -f "benchmark.multiallelic.$kind.csv.bz2" ]
    then
        echo "Reusing existing multiallelic benchmark"
    else
        cp $SCRIPT_DIR/make_benchmark.py .
        time python make_benchmark.py \
            --hits "$(pwd)/hits_with_tpm.csv.bz2" \
            --proteome-peptides "$(mhcflurry-downloads path data_mass_spec_benchmark)/proteome_peptides.all.csv.bz2" \
            --decoys-per-hit 110 \
            --exclude-train-data "$EXCLUDE_TRAIN_DATA" \
            --only-format MULTIALLELIC \
            --out "$(pwd)/benchmark.multiallelic.$kind.csv"
        bzip2 -f benchmark.multiallelic.$kind.csv
    fi
done

rm -rf commands
mkdir commands

for kind in train_excluded all
do
    ### AFFINITY PREDICTOR VARIANT: MONOALLELIC
    if [ "$2" == "continue-incomplete" ] && [ -f "benchmark.monoallelic.predictions.$kind.csv.bz2" ]
    then
        echo "Reusing existing monoallelic benchmark predictions"
    else
        echo time mhcflurry-predict \
            "$(pwd)/benchmark.monoallelic.$kind.csv.bz2" \
            --allele-column hla \
            --prediction-column-prefix no_additional_ms_ \
            --models \""$(mhcflurry-downloads path models_class1_pan_variants)/models.no_additional_ms"\" \
            --affinity-only \
            --no-affinity-percentile \
            --out "$(pwd)/benchmark.monoallelic.no_additional_ms.$kind.csv" \
            --no-throw >> commands/monoallelic.$kind.sh
        echo bzip2 -f "$(pwd)/benchmark.monoallelic.predictions.$kind.csv" >> commands/monoallelic.$kind.sh
    fi


    ### AFFINITY PREDICTORS: MULTIALLELIC
    if [ "$2" == "continue-incomplete" ] && [ -f "benchmark.multiallelic.production.$kind.csv.bz2" ]
    then
        echo "Reusing existing multiallelic predictions"
    else
        echo time mhcflurry-predict \
            "$(pwd)/benchmark.multiallelic.$kind.csv.bz2" \
            --allele-column hla \
            --prediction-column-prefix mhcflurry_production_ \
            --models \""$(mhcflurry-downloads path models_class1_pan)/models.combined"\" \
            --affinity-only \
            --no-affinity-percentile \
            --out "$(pwd)/benchmark.multiallelic.production.$kind.csv" >> commands/multiallelic.production.$kind.sh
        echo bzip2 -f "$(pwd)/benchmark.multiallelic.production.$kind.csv" >> commands/multiallelic.production.$kind.sh
    fi

    for variant in no_additional_ms compact_peptide affinity_only no_pretrain single_hidden_no_pretrain
    do
        if [ "$2" == "continue-incomplete" ] && [ -f "benchmark.multiallelic.${variant}.$kind.csv.bz2" ]
        then
            echo "Reusing existing multiallelic predictions: ${variant}"
        else
            echo time mhcflurry-predict \
                "$(pwd)/benchmark.multiallelic.$kind.csv.bz2" \
                --allele-column hla \
                --prediction-column-prefix "${variant}_" \
                --models \""$(mhcflurry-downloads path models_class1_pan_variants)/models.$variant"\" \
                --affinity-only \
                --no-affinity-percentile \
                --out "$(pwd)/benchmark.multiallelic.${variant}.$kind.csv" >> commands/multiallelic.${variant}.$kind.sh
            echo bzip2 -f "$(pwd)/benchmark.multiallelic.${variant}.$kind.csv" >> commands/multiallelic.${variant}.$kind.sh
        fi
    done

    ### PRESENTATION: WITH FLANKS
    if [ "$2" == "continue-incomplete" ] && [ -f "benchmark.multiallelic.presentation_with_flanks.$kind.csv.bz2" ]
    then
        echo "Reusing existing multiallelic presentation with flanks"
    else
        echo time mhcflurry-predict \
            "$(pwd)/benchmark.multiallelic.$kind.csv.bz2" \
            --allele-column hla \
            --prediction-column-prefix presentation_with_flanks_ \
            --models \""$(mhcflurry-downloads path models_class1_presentation)/models"\" \
            --no-affinity-percentile \
            --out "$(pwd)/benchmark.multiallelic.presentation_with_flanks.$kind.csv" >> commands/multiallelic.presentation_with_flanks.$kind.sh
        echo bzip2 -f "$(pwd)/benchmark.multiallelic.presentation_with_flanks.$kind.csv"  >> commands/multiallelic.presentation_with_flanks.$kind.sh
    fi

    ### PRESENTATION: NO FLANKS
    if [ "$2" == "continue-incomplete" ] && [ -f "benchmark.multiallelic.presentation_without_flanks.$kind.csv.bz2" ]
    then
        echo "Reusing existing multiallelic presentation without flanks"
    else
        echo time mhcflurry-predict \
            "$(pwd)/benchmark.multiallelic.$kind.csv.bz2" \
            --allele-column hla \
            --prediction-column-prefix presentation_without_flanks_ \
            --models \""$(mhcflurry-downloads path models_class1_presentation)/models"\" \
            --no-affinity-percentile \
            --no-flanking \
            --out "$(pwd)/benchmark.multiallelic.presentation_without_flanks.$kind.csv" >> commands/multiallelic.presentation_without_flanks.$kind.sh
        echo bzip2 -f "$(pwd)/benchmark.multiallelic.presentation_without_flanks.$kind.csv"  >> commands/multiallelic.presentation_without_flanks.$kind.sh
    fi

    ### PRECOMPUTED ####
    for variant in netmhcpan4.ba netmhcpan4.el mixmhcpred
    do
        if [ "$2" == "continue-incomplete" ] && [ -f "benchmark.monoallelic.${variant}.$kind.csv.bz2" ]
        then
            echo "Reusing existing monoallelic ${variant}"
        else
            cp $SCRIPT_DIR/join_with_precomputed.py .
            echo time python join_with_precomputed.py \
                \""$(pwd)/benchmark.monoallelic.$kind.csv.bz2"\" \
                ${variant} \
                --out "$(pwd)/benchmark.monoallelic.${variant}.$kind.csv" >> commands/monoallelic.${variant}.$kind.sh
            echo bzip2 -f "$(pwd)/benchmark.monoallelic.${variant}.$kind.csv"  >> commands/monoallelic.${variant}.$kind.sh
        fi

        if [ "$2" == "continue-incomplete" ] && [ -f "benchmark.multiallelic.${variant}.$kind.csv.bz2" ]
        then
            echo "Reusing existing multiallelic ${variant}"
        else
            cp $SCRIPT_DIR/join_with_precomputed.py .
            echo time python join_with_precomputed.py \
                \""$(pwd)/benchmark.multiallelic.$kind.csv.bz2"\" \
                ${variant} \
                --out "$(pwd)/benchmark.multiallelic.${variant}.$kind.csv" >> commands/multiallelic.${variant}.$kind.sh
            echo bzip2 -f "$(pwd)/benchmark.multiallelic.${variant}.$kind.csv"  >> commands/multiallelic.${variant}.$kind.sh
        fi
    done
done

ls -lh commands

if [ "$1" != "cluster" ]
then
    echo "Running locally"
    for i in $(ls commands/*.sh)
    do
        echo "# *******"
        echo "# Command $i"
        cat $i
        bash $i
    done
else
    echo "Running on cluster"
    for i in $(ls commands/*.sh)
    do
        echo "# *******"
        echo "# Command $i"
        cat $SCRIPT_DIR/cluster_submit_script_header.mssm_hpc.lsf > ${i}.lsf
        echo cd "$(pwd)" >> ${i}.lsf
        cat $i >> ${i}.lsf
        cat ${i}.lsf
        bsub -K < "${i}.lsf" &
    done
    wait
fi

cp $SCRIPT_ABSOLUTE_PATH .
bzip2 -f "$LOG"
for i in $(ls LOG-worker.*.txt) ; do bzip2 -f $i ; done
RESULT="$SCRATCH_DIR/${DOWNLOAD_NAME}.$(date +%Y%m%d).tar.bz2"
tar -cjf "$RESULT" *
echo "Created archive: $RESULT"