annotate Snakemake_files/Snakefile_wget_panacota_heatmap_upset_COG @ 13:152d7c43478b draft default tip

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import glob
import os
import shutil

import yaml
configfile: "config.yaml"


SAMPLES = []
with open("config.yaml", "r") as yaml_file:
    genome_data = yaml.safe_load(yaml_file)
    if "ids" in genome_data.keys():
        for id in genome_data["ids"]:
            SAMPLES.append(id)
    if "input_genbanks" in genome_data.keys():
        for gb_path in genome_data["input_genbanks"]:
            cmd = "grep 'ACCESSION' "+gb_path
            returned_value = subprocess.getoutput(cmd)
            words = returned_value.split()
            name = words[1]
            #words = returned_value.split()
            #SAMPLES.append(words[1])
            words = gb_path.split("/")
            genbank_file_name = words[-1]
            x = genbank_file_name.replace(".", "_")
            cmd = "sed -i 's/ACCESSION   "+name+"/ACCESSION   "+x+"/g' "+gb_path
            subprocess.getoutput(cmd)

            cmd_locus = "grep 'LOCUS' "+gb_path
            returned_value = subprocess.getoutput(cmd_locus)
            words_locus = returned_value.split()
            name_locus = words_locus[1]
            cmd = "sed -i 's/LOCUS       "+name_locus+"/LOCUS       "+x+"/' "+gb_path
            subprocess.getoutput(cmd)

            cmd = "grep 'ACCESSION' "+gb_path
            returned_value = subprocess.getoutput(cmd)
            words = returned_value.split()
            SAMPLES.append(words[1])


rule final:
 input:
  "outputs/GCskew.txt",
  "outputs/pav_matrix.tsv",
  "outputs/heatmap.svg.gz",
  "outputs/cog_output.txt",
  "outputs/fastani.out",
  "outputs/rarefaction_curves.txt"


rule ncbi_datasets:
    input:
        "config.yaml"
    output:
        expand("outputs/genomes/{sample}.fasta", sample=SAMPLES),
        expand("outputs/genomes/{sample}.gb", sample=SAMPLES),
        expand("outputs/genomes/{sample}.prt", sample=SAMPLES),
        genomes="outputs/genomes/genomes.txt"
    shell:
        """
        perl $PANEX_PATH/Perl/get_data.pl {input} outputs/genomes
        """


rule gcskew:
    input:
        "outputs/genomes/{sample}.fasta" 
    output:
        "outputs/genomes/{sample}.fasta.gcskew.txt"
    shell:
        """
        python3 $PANEX_PATH/SkewIT/src/gcskew.py -i {input} -o {input}.gcskew.txt -k 1000 -w 1000
        """ 

rule concat_gcskew:
    input:
        expand("outputs/genomes/{sample}.fasta.gcskew.txt", sample=SAMPLES)
    output:
        out2="outputs/GCskew.txt"
    shell:
        """
         cat {input} >>{output.out2}
        """

rule genbank2gff3:
    input:
        "outputs/genomes/{sample}.gb"
    output:
        gff1="outputs/genomes/{sample}.gb.gff",
        gff2="outputs/genomes/{sample}.gb.rmdup.gff"
    shell:
        """
        perl $PANEX_PATH/Perl/bp_genbank2gff3.pl -o outputs/genomes {input}
        perl $PANEX_PATH/Perl/remove_duplicates_in_gff.pl {output.gff1} {output.gff2}
        """

rule panacota:
    input:
        expand("outputs/genomes/{sample}.prt", sample=SAMPLES),
        expand("outputs/genomes/{sample}.gb.gff", sample=SAMPLES)
    output:
        pav="outputs/panacota/PanGenome-mydataset.All.prt.lst"
    params:
        identity=80
    shell:
        """
        cat outputs/genomes/*prt >outputs/genomes/mydataset.All.prt
        PanACoTA pangenome -i 0.{params.identity} -l outputs/genomes/mydataset.All.prt -n mydataset -d outputs/genomes -o outputs/panacota
        mv outputs/panacota/PanGenome-mydataset.All.prt-clust-*-mode1.lst {output}
        """

rule convert_matrix:
    input:
        pav="outputs/panacota/PanGenome-mydataset.All.prt.lst"
    output:
        "outputs/pav_matrix.tsv"
    shell:
        """
        perl $PANEX_PATH/Perl/ConvertPanacotaMatrix.pl outputs/genomes {input} {output} outputs/genomes/strains.txt 
        """


rule cog:
    input:
        pav="outputs/pav_matrix.tsv"
    output:
        cog="outputs/cog_output.txt",
        cogstat="outputs/cog_stats.txt",
        cogstat2="outputs/cog_stats2.txt",
        cogofclusters="outputs/cog_of_clusters.txt"
    shell:
        """
        perl $PANEX_PATH/Perl/GetCogOfCluster.pl {input} outputs/genomes {output.cog} {output.cogstat} {output.cogstat2} {output.cogofclusters} outputs/genomes/strains.txt
        """
        
rule heatmap_upset:
    input:
        pav="outputs/pav_matrix.tsv"
    output:
        heatmap="outputs/heatmap.svg.gz",
        html="outputs/heatmap.svg.heatmap_plotly.html",
        upsetr="outputs/upsetr.svg",
        binpav="outputs/heatmap.svg.pangenes_01matrix.txt"
    shell:
        """
        perl $PANEX_PATH/Perl/GenerateHeatmapFromPAV.pl {input.pav} outputs/heatmap.svg
        mv outputs/heatmap.svg.upsetr.svg {output.upsetr}
        """

rule micropan:
    input:
        binpav="outputs/heatmap.svg.pangenes_01matrix.txt"
    output:
        txt="outputs/rarefaction_curves.txt",
        pdf="outputs/rarefaction_curves.pdf",
        svg="outputs/rarefaction_curves.svg",
        heaps="outputs/heaps.tsv"
    shell:
        """
        Rscript $PANEX_PATH/R/micropan_rarefaction.R -f {input.binpav} -p {output.pdf} -a {output.heaps} -o {output.txt}
        pdf2svg {output.pdf} {output.svg}
        """

rule fastani:
    input:
        "outputs/genomes/genomes.txt"
    output:
        out="outputs/fastani.out",
        matrix="outputs/fastani.out.matrix",
        completematrix="outputs/fastani.out.matrix.complete",
        pdf="outputs/fastani.out.pdf",
        svg="outputs/fastani.out.svg"
    shell:
        """
        fastANI --rl {input} --ql {input} -o {output.out} -t 4 --matrix
        perl $PANEX_PATH/Perl/convertANI.pl {output.matrix} outputs/genomes/genomes2.txt >{output.completematrix}
        Rscript $PANEX_PATH/R/heatmap_ani.R -f {output.completematrix} -o {output.pdf}
        pdf2svg {output.pdf} {output.svg}
        """