Calculate corrected theta from resequencing data

This procedure will estimate theta (nucleotide diversity) based on re-sequencing data. The method is describe in Esteve-Codina et al.

<source lang ='bash'>

1. !/bin/bash
2. SBATCH --time=10000
3. SBATCH --mem=4000
4. SBATCH --ntasks=1
5. SBATCH --nodes=1
6. SBATCH --constraint=normalmem
7. SBATCH --output=output_%j.txt
8. SBATCH --error=error_output_%j.txt
9. SBATCH --job-name=ngstheta
10. SBATCH --partition=ABGC_Research

module load samtools/0.1.19 VAR=`gunzip -c /lustre/nobackup/WUR/ABGC/shared/Pig/vars_hjm_newbuild10_2/vars-flt_$1-final.txt.gz | cut -f8 | head -1000000 | sort | uniq -c | sed 's/^ \+//' | sed 's/ \+/\t/' | sort -k1 -nr | head -1 | cut -f2` let MAX=2*VAR echo "$1 max_depth is $MAX" MIN=$(( $VAR / 3 )) if [ $MIN -lt 5 ]; then MIN=4; fi

echo "$1 min_depth is $MIN" samtools mpileup -uf /lustre/nobackup/WUR/ABGC/shared/Pig/Sscrofa_build10_2/FASTA/Ssc10_2_chromosomes.fa /lustre/nobackup/WUR/ABGC/shared/Pig/BAM_files_hjm_newbuild10_2/$1_rh.bam | bcftools view -bvcg - > $1.mig.bcf bcftools view $1.mig.bcf | vcfutils.pl varFilter -d$MIN -D$MAX > $1.mig.vcf awk '$6 >= 20' $1.mig.vcf > $1.miguel.vcf samtools mpileup -Bq 20 -d 50000 /lustre/nobackup/WUR/ABGC/shared/Pig/BAM_files_hjm_newbuild10_2/$1_rh.bam | perl covXwin-v3.1.pl -v $1.miguel.vcf -w 50000 -d $MIN -m $MAX -b /lustre/nobackup/WUR/ABGC/shared/Pig/BAM_files_hjm_newbuild10_2/$1_rh.bam | ./ngs_theta -d $MIN -m $MAX > $1.wintheta </source>

The script can be submitted using sbatch using the following code, assuming that the names of the individuals are listed in a file called individuals.txt. <source lang='bash'> INDS=`cat individuals.txt` for IND in $INDS; do sbatch nucdiv_pipeline.sh $IND; done </source>

<source lang = 'rsplus'> files=list.files(pattern="wintheta") a <- data.frame("file" = character(), "theta_het" = numeric()) for (file1 in files){

  x <- read.table(file1,header=T); 
  mn=mean(x$THETA_HET[x$BP>20000 & x$CHR != 'chrUN_nr']); 
  print(paste(file1,mn,sep="  "));
  a<- rbind(a,data.frame("file"=file1,"theta_het"=mn))

} write.table(x=a,file="theta_het_results.txt") </source>