Intern
This sofware is for internal use. If you found this page den congrats. Feel free you use the methods but they might not work, give wrong results or other nasty stuff. If and then they fuck up don't contact us or complain.
Secret software
Grepper
Formerly known as getliner. Used for grep'ing with in columns
Sortdep
Fast counting of integers
RefFinder
Extract bases from a fasta file
Other stuff
chisquare
A small library build using numerical recipies third edition for calculating stuff relating to the chisqdistribution
bambi/bammer
(Thorfinn, april20 2012) This was a precursor to angsd. But it should be useful for playing around with single bam files.
Download
Usage
Program is invoked with either:
./bammer view #samtools view/ single sample only ./bammer uppile #This does emulates the samtools mpileup
Inputfiles are supplied with either
tmp.bam #single bamfile -b bam.list #filelist containing bamfiles -b bam.list -nInd INT #only select the first INT samples from bam.list
Regions of interest can be supplied by defining a region in the following way
-r chr:a-b #select chromsome chr from a, to b -r chr:-b #select chromosome chr from beginning to be -r chr:b- #select chromosome chr from b to end of chromosome
If we want to dump different regions in the same run, this can be done with
-rf regions.file #every region is on a newline, has same format as above
Program can also estimate genotypelikelihoods if uppile is selected
-GL 0 #SOAPsnp -GL 1 #samtools -GL 2 #gatk
Output is hardcode dumped in glfs.glfs, these is a binary double file. Information for first site is the first 10*sizeof(double)*nInd bytes. This is the samtools ordering AA,AC,AG,...
Information about the position is dumped in mafs.mafs. This is NOT the MAF, but simply a 2 column file with chr tab.
Below are some examples for running the program
#view commands below ./bammer view new2.bam ./bammer view bwape_sort_rmdup.bam chr21:9483252-9672320 ./bammer view bwape_sort_rmdup.bam chrY:-1000000 #mpileup below ./bammer uppile -b lucampHighBam.filelist -nInd 2 -r chr1:-376920 #samtools estimation of GL ./bammer uppile -b lucampHighBam.filelist -nInd 2 -r chr1:-376920 -GL 1
Technics
Program spawns a single thread, when a chunk has been read, and the thread is not finished it will wait.
ieatgor
Extract lines from file in "gor" format. The files can be found in this [[ieatgor/][folder]]
to compile
g++ -O3 -o ieatgor ieatgor.cpp -lz
The target file must be sorted. example of target file
chr1:22323:232322 chr10:10000:10000000 chr3:10000:10000000
A "gor" file is a file with the first coloum being the chromosome and the second coloum being the positions. The rest of the coloums are not important. The gor file must be sorted based on the positions and chr. gz gor files are also accepted. example of a gor file
chr1 1033267 2 3 know 0.000000 EM 0.000000 unk 0.000000 EMunk 0.000000 Nind 9 chr1 1033268 0 2 know 0.000000 EM 0.000000 unk 0.000000 EMunk 0.000000 Nind 9 chr1 1033279 3 1 know 0.000000 EM 0.000000 unk 0.000000 EMunk 0.000000 Nind 9 chr1 1033286 0 2 know 0.000000 EM 0.000000 unk 0.000000 EMunk 0.000000 Nind 9 chr1 1033297 0 2 know 0.000000 EM 0.000000 unk 0.000000 EMunk 0.000000 Nind 9 chr1 1033304 0 1 know 0.000000 EM 0.000000 unk 0.000000 EMunk 0.000000 Nind 9 ...
run example
./ieatgor file.target file.gor
the extracted line are returned to standard out.
getliner
NB HUGE BUG, must +1 when using -l and zipped files. Sorry for inconveincace. (tsk)
This is a general tool for extract lines from newline seperated textfiles (can be gz compressed). Getliners4 allows for complement grep, use '-v 1'. Default is '-v 0'. Program can also print out basic statistics for hit/nonhit if -i filename is supplied. getliners6.cpp tokinzes on \r, so should work on windows files.
Download here getliners6.cpp .
g++ getliners5.cpp -lz -O3 -o getliners
Program can either extract specific lines, or "keys". The linenumbers to extract must be 1-indexed (first line i 1). When using keys, you must supply which column to 'grep' for. The program builds an associative array of the keys. And therefore only a single pass of the datafile is required.
Fields in the datafile can be seperated by a delimiter that can be specified at runtine with the "-d " argument. Default is space/tab. If delimter is an escape sequence it will not work and the code should be modified.
calcABBABABA
This is program that calculates ABBA-BABA related stats for a given chromosome.
It can be downloaded here abbababatest.cpp and can be compiled with:
g++ -O3 abbababatest.cpp -o calcABBABABA -lz
To get all options just type
./calcABBABABA
An example run cmd
../calcABBABABA -file /space/genomes/refgenomes/ancestal/hg19/shortForm/chr20.ans -bam testbamfilelistbotoV2chr20.txt -outfileprefix testbotoV2Chr20plus1x2 -blocksz 5
The program outputs three files: an abbababa file (with only abbababa stats), a count file (with overall counts for the chromosome) and a summary file where the compile time, run time and the cmds and the input files used when the program was run are all listed.
plot Plink
[[Rfun/][Folder]]
Rscript /home/software/public/software/intern/Rfun/plink.plot.R <plink output file>
liftover a plink file
You might have the change the chainFile path and the liftover path if you are not on pontus Note that if two SNP map to the same position after liftover one of them is removed.
#!/bin/bash
#make liftover file
Files=$1
liftoverProg=/home/albrecht/bin/prog/liftover/liftOver
chainFile=/home/albrecht/bin/prog/liftover/chainFiles/hg18ToHg19.over.chain
plink=/home/albrecht/bin/prog/plink-1.07-x86_64/plink
if [ "$#" -eq 0 ]; then
echo "supply a plink prefix"
exit
fi
if [ -f $Files.map ]
then
echo using file $Files.map
else
echo the file ${Files}.map does not exists \(use plink --recode\)
fi
if [ -f $Files.bed ]
then
echo using file $Files.bed
else
echo the file $Files.bed does not exists \(use plink --make-bed\)
fi
#make bed file for liftover
Rscript -e "options(scipen=10);map<-read.table('$Files.map',hea=F,as.is=T);res<-cbind(paste('chr',map[,1],sep=''),map[,4]-1,map[,4],map[,2],0,'+');write.table(res,file='$Files.bedfile',col=F,row=F,qu=F,sep='\t')"
#liftover
$liftoverProg $Files.bedfile $chainFile ${Files}Hg19.bedfile ${Files}Hg19.unmapped
# rm unmapped
grep -v \# ${Files}Hg19.unmapped | cut -f4 > rmSNPs.txt
#rm duplicates
cat ${Files}Hg19.bedfile | sort -k1 | rev | uniq -d -f3 | rev | cut -f4 > dubSNP.txt
echo removing `wc -l dubSNP.txt`
cat dubSNP.txt >> rmSNPs.txt
$plink --noweb --bfile $Files --exclude rmSNPs.txt --recode --out ${Files}Red
#change pos
Rscript -e "liftmap<-read.table('${Files}Hg19.bedfile',hea=F,colC=c('character','integer')[c(1,2,2,1,2,1)]);liftmap<-read.table('${Files}Hg19.bedfile',hea=F,as.is=T);map<-read.table('${Files}Red.map',hea=F,as.is=T); liftmap<-liftmap[liftmap[,4]%in%map[,2],];rownames(map)<-map[,2];map[liftmap[,4],4]<-liftmap[,3];map[liftmap[,4],1]<-sub('chr','',liftmap[,1]);write.table(map,file='hg19.map',col=F,row=F,qu=F)"
echo The new plink file is called ${Files}Hg19 and are on the same strand as the original file
#flip strands
cat ${Files}Hg19.bedfile | grep \- | cut -f4 > flipSNPs.txt
$plink --noweb --ped ${Files}Red.ped --map hg19.map --flip flipSNPs.txt --recode --make-bed --out ${Files}Hg19
$plink --noweb --bfile ${Files}Hg19 --recode --out ${Files}Hg19
- run pre
./liftover.sh myPlinkFile
- angsd
[[angsd/][Download folder]]
plot admix results
Download
[[Rfun/plotAdmix_anders.R][Get the R script]]
or the more fancy one
[[Rfun/plotAdmix2.R][fancier plotter (ida)]]
to get the options type
Rscript plotAdmix_anders.R Rscript plotAdmix2.R
plot LD region from plink file
plot the LD in a region. You need SNPmatrix working. If you cannot get SNPmatrix to work use Relate instead (ldsnp3 function) or if on pontus use
library(snpMatrix,lib="/home/albrecht/R/x86_64-pc-linux-gnu-library/2.15/")
R function
ldplot<-function(x,pos,colR=colorRampPalette(c("white","yellow","red"))(40),minLod=3,xlab="Mb",lod,bg.col="lightblue",posScale=1e6,legend=FALSE,...){
if(missing(pos))
pos<-1:(nrow(x)+1)
meanPos<-pos[-1]-diff(pos)/2
x[x==-1]<-NA
if(!missing(lod))
x[lod<minLod]<-NA
matBG<-matrix(NA,nrow=nrow(x)*2,ncol=ncol(x))
nr<-nrow(x)
for(c in 1:ncol(matBG))
matBG[,c]<- c(rep(NA,c-1),rep(1,length(1:(nr-c+1))*2),rep(NA,c-1))
mat<-matrix(NA,nrow=nrow(x)*2,ncol=ncol(x))
nr<-nrow(x)
for(c in 1:ncol(mat))
mat[,c]<- c(rep(NA,c-1),rep(x[1:(nr-c+1),c],each=2),rep(NA,c-1))
image(1:nrow(mat),1:ncol(x),matBG,col=bg.col,ylab="",axes=F,xlab=xlab,...)
image(1:nrow(mat),1:ncol(x),mat,col= colR,add=TRUE,...)
ticks<-unique(floor(meanPos/posScale))[-1]
if(length(ticks)>0){
at<-sapply(1:length(ticks),function(x) which.min(abs(meanPos-ticks[x]*posScale)))
axis(1,at=at*2,label=ticks)
}
if(legend)
points(rep(ncol(mat)/10,1000),1000:1/1000*ncol(mat)/1.3+ncol(mat)*0.15,pch="-",col=colR[ceiling(1:1000/25)],cex=2)
}
example
library(snpMatrix)
#snp info from plink files
pl<-read.plink("/space/anders/greenland/data/plink/datGRDKplus")
plB<-read.table("/space/anders/greenland/data/plink/datGRDKplus.bim")
#choose region
min.pos<-70e6
max.pos<-81e6
chr=1
minMaf<-0.05
minCallrate<-0.95
depth<-400 #depth of ld calculations (window size)
# calculatate maf and callrate
info<-col.summary(pl)
#chose SNPs
table(keep <- plB[,1]==chr&plB[,4]>min.pos&plB[,4]<max.pos & info$MAF>minMaf & !is.na(info$MAF) & info$Call.rate > minCallrate)
#estimate LD
ldinfo <- ld.snp(pl[,keep],depth=depth)
#plot LD (D')
ldplot(ldinfo$dprime,pos=plB[keep,4],main="LD (D')")
#plot R squared
ldplot(ldinfo$rsq2,pos=plB[keep,4],main="LD (r2)")
#change color palette
colR=colorRampPalette(c("white","grey","black"))(40)
ldplot(ldinfo$rsq2,pos=plB[keep,4],main="LD (r2)",colR=colR)
This example produces the plots: [[andersLink/ldpic1.pdf][pdf]]