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d50d6b99
Commit
d50d6b99
authored
8 years ago
by
Venkat Malladi
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Call peaks for H3K4me3.
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call-peaks-macs-single.sh
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d50d6b99
#!/bin/bash
# call-peaks-macs.sh
script_name
=
"call-peaks-macs2.sh"
script_ver
=
"2.1.0"
#Help function
usage
()
{
echo
"-h --Help documentation for
$script_name
"
echo
"-f --File path to experiment tagAlign files."
echo
"-s --File path to control tagAlign files."
echo
"-x --File path to experiment cross-correlation scores."
echo
"-r --UCSC Reference genome (e.g. hg19, mm10)"
echo
"-o --Path to output directory"
echo
"-v --Version of script"
echo
"Example:
$script_name
-f 'foo1.tagAlign.gz' -s 'con1.tagAlign.gz' -x 'foo1.cc' -r 'hg19' [-o '/path/to/output/dir/']"
exit
1
}
# Version function
version
(){
echo
"
$script_name
$script_ver
"
exit
1
}
# Peak calling function
call_peak
()
{
# Establish variables
experiment
=
$1
control
=
$2
xcor_scores_input
=
$3
chrom_sizes
=
$4
genomesize
=
$5
out_dir
=
$6
#Extract the fragment length estimate from cross-correlation scores file
fraglen
=
`
cat
$xcor_scores_input
|
grep
"predicted"
|
cut
-f6
-d
' '
`
echo
$fraglen
# Generate narrow peaks and preliminary signal tracks
base_fn
=
$(
basename
"
${
experiment
}
"
)
prefix
=
${
base_fn
%.tagAlign.gz
}
macs2 callpeak
-t
$experiment
-c
$control
-f
BED
-n
$out_dir
/
$prefix
-g
$genomesize
-p
1e-5
--nomodel
--shift
0
--extsize
$fraglen
--keep-dup
all
-B
--SPMR
# Generate fold enrichment signal tracks
macs2 bdgcmp
-t
$out_dir
/
$prefix
\_
treat_pileup.bdg
-c
$out_dir
/
$prefix
\_
control_lambda.bdg
--outdir
$out_dir
-o
$prefix
\_
FE.bdg
-m
FE
# Genearte bigWigs from bedgraph to support vizualization
bedtools slop
-i
$out_dir
/
$prefix
\_
FE.bdg
-g
/
$chrom_sizes
-b
0 | bedClip stdin
$chrom_sizes
$out_dir
/
$prefix
.fc.signal.bedgraph
bedSort
$out_dir
/
$prefix
.fc.signal.bedgraph
$out_dir
/
$prefix
.sorted.fc.signal.bedgraph
bedGraphToBigWig
$out_dir
/
$prefix
.sorted.fc.signal.bedgraph
$chrom_sizes
$out_dir
/
$prefix
.fc_signal.bw
rm
$out_dir
/
$prefix
.fc.signal.bedgraph
rm
$out_dir
/
$prefix
.sorted.fc.signal.bedgraph
# Generate fold enrichment signal tracks
# Compute sval = min(no. of reads in ChIP, no. of reads in control) / 1,000,000
experiment_reads
=
`
gzip
-dc
$experiment
|
wc
-l
|
cut
-f1
`
control_reads
=
`
gzip
-dc
$control
|
wc
-l
|
cut
-f1
`
if
[
$experiment_reads
-ge
$control_reads
]
;
then
min
=
$control_reads
else
min
=
$experiment_reads
fi
sval
=
`
echo
$min
/1000000 | bc
-l
`
macs2 bdgcmp
-t
$out_dir
/
$prefix
\_
treat_pileup.bdg
-c
$out_dir
/
$prefix
\_
control_lambda.bdg
--outdir
$out_dir
-o
$prefix
\_
ppois.bdg
-m
ppois
-S
$sval
# Genearte bigWigs from bedgraph to support vizualization
bedtools slop
-i
$out_dir
/
$prefix
\_
ppois.bdg
-g
$chrom_sizes
-b
0 | bedClip stdin
$chrom_sizes
$out_dir
/
$prefix
.pval.signal.bedgraph
bedSort
$out_dir
/
$prefix
.pval.signal.bedgraph
$out_dir
/
$prefix
.sorted.pval.signal.bedgraph
bedGraphToBigWig
$out_dir
/
$prefix
.sorted.pval.signal.bedgraph
$chrom_sizes
$out_dir
/
$prefix
.pval_signal.bw
rm
$out_dir
/
$prefix
.pval.signal.bedgraph
rm
$out_dir
/
$prefix
.sorted.pval.signal.bedgraph
}
main
(){
# Load required modules
module load python/2.7.x-anaconda
module load R/3.1.0-intel
module load macs/2.1.0-20151222
module load gcc/4.8.1
module load bedtools/2.17.0
module load UCSC_userApps/v317
# Parsing options
OPTIND
=
1
# Reset OPTIND
while
getopts
:f:s:x:r:o:hv opt
do
case
$opt
in
f
)
aln
=
$OPTARG
;;
s
)
control
=
$OPTARG
;;
x
)
aln_cross
=
$OPTARG
;;
r
)
ucsc_reference
=
$OPTARG
;;
o
)
out
=
$OPTARG
;;
h
)
usage
;;
v
)
version
;;
esac
done
shift
$((
$OPTIND
-
1
))
# Check for mandatory options
if
[[
-z
$aln
]]
||
[[
-z
$control
]]
||
[[
-z
$ucsc_reference
]]
||
[[
-z
$aln_cross
]]
;
then
usage
fi
# Check if length of arguments in aln1, aln2 and exp are the same
array_aln
=(
${
aln
//[,| ]/
}
)
array_control
=(
${
control
//[,| ]/
}
)
array_aln_cross
=(
${
aln_cross
//[,| ]/
}
)
# Define the genome size to use
if
[
$ucsc_reference
=
'hg19'
]
;
then
genome_size
=
'hs'
elif
[
$ucsc_reference
=
'mm10'
]
;
then
genome_size
=
'mm'
elif
[
$ucsc_reference
=
'mm9'
]
;
then
genome_size
=
'mm'
else
usage
fi
# Define the output directory, if none defined make the location relative to first file
if
[
-z
$out
]
;
then
one_parent
=
$(
dirname
"
${
aln
}
"
)
out_dir
=
$(
dirname
"
${
one_parent
}
"
)
\/
$script_name
-
$script_ver
/
else
out_dir
=
$out
\/
$script_name
-
$script_ver
fi
if
[
!
-d
$out_dir
]
;
then
mkdir
$out_dir
fi
# Align if file doesn't exist
if
[
!
-e
$out_dir
/metadata.json
]
;
then
# split files
rep1
=
${
aln
}
con1
=
${
control
}
rep1_xcor
=
${
aln_cross
}
echo
"* Downloading chrom.sizes..."
fetchChromSizes
$ucsc_reference
>
$out_dir
/chrom.sizes
chrom_sizes
=
$out_dir
/chrom.sizes
# Call peaks Replicates 1 and 2
call_peak
$rep1
$con1
$rep1_xcor
$chrom_sizes
$genome_size
$out_dir
# Remove chrom sizes
rm
$out_dir
/chrom.sizes
# Get input and output files and then print out metadata.json file
input_files
=(
"
${
array_aln
[@]
}
"
"
${
array_control
[@]
}
"
"
${
array_aln_cross
[@]
}
"
"
$ucsc_reference
"
)
printf
-v
input
"
\"
%s
\"
,"
"
${
input_files
[@]
}
"
input
=
${
input
%,
}
output_file
=(
$out_dir
\/
*
)
printf
-v
output
"
\"
%s
\"
,"
"
${
output_file
[@]
}
"
output
=
${
output
%,
}
printf
'{"script name":"%s","script version":"%s", "input files": [%s], "output files": [%s]}'
"
$script_name
"
"
$script_ver
"
"
$input
"
"
$output
"
| python
-m
json.tool
>
$out_dir
/metadata.json
else
echo
"* Peaks have been called"
fi
}
main
"
$@
"
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