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April 2, 2019 08:53
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Two scripts to plot BLINK results using rMVP
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# assuming that all results tables of BLINK are in the current folder, and assuming that all results tables were gzipped | |
# usage: python makeSummaryTable.py > Summary_Table.tsv | |
# this script will make one large summary table in the format rMVP requires, SNP, chrom, position, and then x columns for x phenotypes - each cell one p-value | |
# use grep -v to kick out regions of the genome you don't want to plot (unplaced contigs etc.) | |
import glob | |
import gzip | |
from collections import OrderedDict | |
all_phenos = ['SNP','chr','pos'] | |
snp_dict = OrderedDict() | |
for x in glob.glob('*txt.gz'): | |
pheno = x.replace('_GWAS_result.txt.gz','') | |
all_phenos.append(pheno) | |
with gzip.open(x, 'rb') as fh: | |
for line in fh: | |
ll = line.split() | |
if ll[0] == 'taxa': continue | |
#['1_1', '1', '1', '7.228916e-02', '1.882767e-01'] | |
snp = ll[0] | |
if snp in snp_dict: | |
snp_dict[snp].append(ll[-1]) | |
else: | |
snp_dict[snp] = [ll[-1]] | |
print('\t'.join(all_phenos)) | |
for s in snp_dict: | |
snp_name = s | |
ss = s.split('_') | |
snp_chrom = ss[0] | |
snp_pos = ss[1] | |
thisll = [snp_chrom, snp_pos, str(int(snp_pos)+2)] | |
thisll = '\t'.join(thisll) + "\t" + snp_name+'_'+ '_'.join(snp_dict[s]) | |
print(thisll) |
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library(readr) | |
library(rMVP) | |
# this script can easily run for a few hours | |
df <- read_tsv('Summary_Table.tsv') | |
# make x Manhattan plots for x phenotypes - for journal submission it's probably better to use file='tiff' | |
MVP.Report(df, plot.type="m", LOG10=TRUE, ylim=NULL, threshold=c(1e-6,1e-4),threshold.lty=c(1,2), | |
col=c("dodgerblue4","deepskyblue"), threshold.lwd=c(1,1), threshold.col=c("black","grey"), amplify=TRUE, | |
chr.den.col=c("darkgreen", "yellow", "red"),bin.size=1e6,signal.col=c("red","green"), | |
signal.cex=c(1,1),signal.pch=c(19,19),file="jpg",memo="",dpi=300) | |
# make x QQ-plots for x phenotypes | |
MVP.Report(df,plot.type="q",conf.int.col=NULL,box=TRUE,file="jpg",memo="",dpi=300) |
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