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Running CRISPRCasFinder with varying DR length from 10 to 55 bp; Python scripts to extract arrays, spacers and DRs statistics
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DIR=/hpcws/ipetrushin-arab | |
FILE=$1 | |
BASENAME=${FILE%%.*} | |
for n in {10..55} | |
do | |
MIN=$n | |
MAX=$n | |
echo $BASENAME with -minDR $MIN -maxDR $MAX | |
mkdir "$DIR/$BASENAME.$MIN.$MAX" | |
cd "$DIR/$BASENAME.$MIN.$MAX" | |
ln -s ../$1 $1 | |
/home/ipetrushin/soft/ccf/CRISPRCasFinder.pl -cpuM 16 -vi 10000000 -minDR $MIN -maxDR $MAX -log -keep \ | |
-so /home/ipetrushin/miniconda3/lib/sel392v2.so -in $1 -out $BASENAME.out | |
cp $BASENAME.out/result.json ../../$BASENAME.$MIN.$MAX.json | |
cd "$DIR" | |
done |
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#!/usr/bin/env python3 | |
import os, json | |
for (root, dirs, files) in sorted(os.walk(".", topdown=True, onerror=None, followlinks=False), key=lambda dir: dir[0]): | |
for f in files: | |
if ('.json' in f): | |
filename = root + '/' + f | |
with open(filename, "r") as read_file: | |
data = json.load(read_file); accession = data["Sequences"][0]["Id"] | |
organism = data["Sequences"][0]["Description"].split(',')[0] | |
crisprs = data["Sequences"][0]["Crisprs"] # we have one sequence only: [0] | |
cas = data["Sequences"][0]["Cas"] # we have one sequence only: [0] | |
if len(crisprs) > 0: | |
for c in crisprs: | |
num_spacers = (len(c["Regions"])-3) // 2 | |
print("%s\t%d\t%d\t%d" % (c["Name"], c["Start"], c["End"], num_spacers)) |
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#!/usr/bin/env python3 | |
# -*- coding: utf-8 -*- | |
import os, json | |
for (root, dirs, files) in sorted(os.walk(".", topdown=True, onerror=None, followlinks=False), key=lambda dir: dir[0]): | |
for f in files: | |
if ('.json' in f): | |
filename = root + '/' + f | |
with open(filename, "r") as read_file: | |
data = json.load(read_file) | |
organism = data["Sequences"][0]["Description"].split(',')[0] | |
crisprs = data["Sequences"][0]["Crisprs"] # we have one sequence only: [0] | |
cas = data["Sequences"][0]["Cas"] # we have one sequence only: [0] | |
if len(crisprs) > 0: | |
n = 1 | |
for c in crisprs: | |
print(">%s;%s\n%s" % (c["Name"], organism, c["DR_Consensus"])) |
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#!/usr/bin/env python3 | |
# -*- coding: utf-8 -*- | |
import os, json | |
for (root, dirs, files) in sorted(os.walk(".", topdown=True, onerror=None, followlinks=False), key=lambda dir: dir[0]): | |
for f in files: | |
if ('.json' in f): | |
filename = root + '/' + f | |
with open(filename, "r") as read_file: | |
data = json.load(read_file) | |
organism = data["Sequences"][0]["Description"].split(',')[0] | |
crisprs = data["Sequences"][0]["Crisprs"] # we have one sequence only: [0] | |
cas = data["Sequences"][0]["Cas"] # we have one sequence only: [0] | |
if len(crisprs) > 0: | |
for c in crisprs: | |
for (number, r) in enumerate(c["Regions"]): | |
if r["Type"] == "Spacer": | |
print(">%s_%d;%d_%d\n%s" % (c["Name"], number//2, r["Start"], r["End"], r["Sequence"])) |
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