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Snakefile
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Snakefile
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###########################################################################
# Genome annotation pipeline using braker in Snakemake
# Snakemake/5.13.0
###########################################################################
from os.path import join
from snakemake.io import expand, glob_wildcards
result_dir = config["result_dir"]
input_dir = config["input_dir"]
rna_dir = config["rna_dir"]
protein_file = config["protein_file"]
rna_list = config["rna_list"]
SAMPLE = list(glob_wildcards(join(input_dir, "{ids}.fasta")))[0]
print(SAMPLE)
rule All:
input:
# Repeats
expand(join(result_dir,"{samples}-families.fa"),samples=SAMPLE),
expand(join(result_dir,"{samples}.softMasked.fasta"),samples=SAMPLE),
expand(join(result_dir,"{samples}.fasta.masked"),samples=SAMPLE),
expand(join(result_dir,"{samples}.fasta.out.gff"),samples=SAMPLE),
# braker files
# expand(join(result_dir, "{samples}_braker/trna.gff3"),samples=SAMPLE),
expand(join(result_dir,"{samples}_braker/braker.gff3"),samples=SAMPLE),
expand(join(result_dir,"{samples}_braker/braker.aa"),samples=SAMPLE),
expand(join(result_dir,"{samples}_braker/braker.codingseq"),samples=SAMPLE),
# renamed file
expand(join(result_dir,"{samples}_braker.gff3"),samples=SAMPLE),
expand(join(result_dir,"{samples}_braker.prot"),samples=SAMPLE),
expand(join(result_dir,"{samples}_braker.cds"),samples=SAMPLE),
# functional file
expand(join(result_dir,"{samples}_braker.functional.gff3"),samples=SAMPLE),
expand(join(result_dir,"{samples}_braker.functional.gtf"),samples=SAMPLE),
expand(join(result_dir,"{samples}_braker.functional.clean.gtf"),samples=SAMPLE),
expand(join(result_dir,"{samples}_braker.functional.aa"),samples=SAMPLE),
expand(join(result_dir,"{samples}_braker.functional.cds"),samples=SAMPLE),
# Blasts genome against itself to identify highly repetitve regions which it then attempts to classify.
rule RepeatModeler:
input:
fa=join(input_dir, "{samples}.fasta"),
output:
fa=join(result_dir, "{samples}.fasta"),
rep=join(result_dir,"{samples}-families.fa"),
params:
rname="RepeatModeler",
dir=result_dir,
id="{samples}",
threads:
48
shell:
"""
cd {params.dir}
module load repeatmodeler
ln -s {input.fa} {output.fa}
BuildDatabase -name {params.id} {output.fa}
RepeatModeler -database {params.id} -pa {threads} -LTRStruct >& {params.id}.out
"""
# Blasts genome using generated repeats to identify the loci for each repeat.
rule RepeatMasker:
input:
fa=join(result_dir, "{samples}.fasta"),
rep=join(result_dir,"{samples}-families.fa"),
output:
fa=join(result_dir,"{samples}.fasta.masked"),
gff=join(result_dir,"{samples}.fasta.out.gff"),
params:
rname="RepeatMasker",
dir=result_dir,
threads="48",
shell:
"""
cd {params.dir}
module load repeatmasker
RepeatMasker -u -s -poly -engine rmblast -pa {params.threads} -gff -no_is -gccalc -norna -lib {input.rep} {input.fa}
"""
# Softmask repeats in genome for braker step
rule softMask:
input:
fa=join(result_dir, "{samples}.fasta"),
gff=join(result_dir,"{samples}.fasta.out.gff"),
output:
fa=join(result_dir, "{samples}.softMasked.fasta"),
params:
rname="softMask",
shell:
"""
module load bedtools
bedtools maskfasta -fullHeader -soft -fi {input.fa} -bed {input.gff} -fo {output.fa}
"""
# Identifies and annotates genes and transcripts in the softmasked genome, using protein sequences and bulk RNAseq data.
rule braker:
input:
fa=join(result_dir, "{samples}.softMasked.fasta"),
output:
gff=join(result_dir, "{samples}_braker/braker.gff3"),
aa=join(result_dir, "{samples}_braker/braker.aa"),
cds=join(result_dir, "{samples}_braker/braker.codingseq"),
params:
rname="braker",
species_id="{samples}",
out_dir=join(result_dir,"{samples}_braker"),
rna_dir=rna_dir,
rna_list=rna_list,
prot=protein_file,
shell:
"""
module load braker
mkdir -p {params.out_dir}
braker.pl --genome={input.fa} --useexisting --species={params.species_id} \
--prot_seq={params.prot} --workingdir={params.out_dir} \
--gff3 --threads=8 --rnaseq_sets_ids={params.rna_list} \
--rnaseq_sets_dir={params.rna_dir}
"""
#rule trnascan:
# input:
# fa=join(result_dir, "{samples}.softMasked.fasta"),
# output:
# gff=join(result_dir, "{samples}_braker/trna.gff3"),
# params:
# rname="trnascan",
# shell:
# """
# module load trnascan-se/2.0.9
# tRNAscan-SE -j {output.gff} {input.fa}
# """
# Rename gene IDs with custom ID
rule gff_rename:
input:
gff=join(result_dir, "{samples}_braker/braker.gff3"),
aa=join(result_dir, "{samples}_braker/braker.aa"),
cds=join(result_dir, "{samples}_braker/braker.codingseq"),
output:
map=temp(join(result_dir, "{samples}.map")),
gff=join(result_dir, "{samples}_braker.gff3"),
aa=join(result_dir, "{samples}_braker.prot"),
cds=join(result_dir, "{samples}_braker.cds"),
params:
species_id="{samples}",
rname="gff_rename",
shell:
"""
module load maker
maker_map_ids --prefix {params.species_id} --justify 5 {input.gff} > {output.map}
cp {input.gff} {output.gff}
map_gff_ids {output.map} {output.gff}
cp {input.aa} {output.aa}
cp {input.cds} {output.cds}
map_fasta_ids {output.map} {output.aa}
map_fasta_ids {output.map} {output.cds}
"""
# Annotate genes with functional use based on uniprot DB
# Note, if you are not using the default uniprot protein DB, you must make your custom protein fasta file a blastp database before running this step.
rule gff_annot:
input:
gff=join(result_dir, "{samples}_braker.gff3"),
prot=join(result_dir, "{samples}_braker.prot"),
cds=join(result_dir, "{samples}_braker.cds"),
output:
gff=join(result_dir, "{samples}_braker.functional.gff3"),
prot=join(result_dir, "{samples}_braker.functional.aa"),
cds=join(result_dir, "{samples}_braker.functional.cds"),
blast=temp(join(result_dir,"{samples}.blast")),
params:
rname="gff_annot",
threads=8,
uniprot=protein_file,
shell:
"""
module load blast maker
blastp -query {input.prot} -db {params.uniprot} -evalue 1e-6 -max_hsps 1 -max_target_seqs 1 -outfmt 6 -out {output.blast} -num_threads {params.threads}
maker_functional_gff {params.uniprot} {output.blast} {input.gff} > {output.gff}
maker_functional_fasta {params.uniprot} {output.blast} {input.prot} > {output.prot}
maker_functional_fasta {params.uniprot} {output.blast} {input.cds} > {output.cds}
"""
# Clean & convert gff to gtf for use in RNA-seek
rule gff2gtf:
input:
# gff1=join(result_dir, "{samples}_braker/trna.gff3"),
gff2=join(result_dir,"{samples}_braker.functional.gff3"),
output:
# gff=temp(join(result_dir,"{samples}_braker.functional.gff")),
gtf=join(result_dir,"{samples}_braker.functional.gtf"),
clean=join(result_dir,"{samples}_braker.functional.clean.gtf"),
params:
rname="gff2gtf",
shell:
"""
module load agat/1.2.0 python
# agat_sp_merge_annotations.pl --gff {input.gff1} --gff {input.gff2} --out (output.gff)
agat_convert_sp_gff2gtf.pl --gff {input.gff2} -o {output.gtf}
python /data/OpenOmics/references/brakerMake/clean_gtf.py {output.gtf} > {output.clean}
"""