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--- | ||
layout: default | ||
math: mathjax | ||
title: Metrics Bcftools counts | ||
nav_order: 5 | ||
--- | ||
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Last update: 20241219 | ||
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# Metrics Bcftools counts | ||
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This is the main source of basic variant counts when understanding the effects of a qualifying variant (QV) design. | ||
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The script shown below runs on a set of gVCF directories (`INPUT_DIRS`) where incremental filtering has reduces the dataset in each sequential step. | ||
A pyramid filtering plot is likely to use such count data. | ||
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**Example output**: | ||
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* Number of samples: 180 | ||
* Number of SNPs: 97296 | ||
* Number of INDELs: 17945 | ||
* Number of MNPs: 0 | ||
* Number of others: 0 | ||
* Number of sites: 112132 | ||
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Usage Example: | ||
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``` | ||
#!/bin/bash | ||
#SBATCH --array=0-24 | ||
... | ||
... | ||
set -e | ||
echo "START AT $(date)" | ||
variables="/path/variables.sh" | ||
source ${variables} | ||
QV_MODEL="Design_QV_SNV_INDEL_v1" | ||
# Tools setup | ||
module load StdEnv/2023 gcc/12.3 bcftools/1.19 | ||
# Input directories setup | ||
declare -a INPUT_DIRS=( | ||
"${VQSR_DIR}" | ||
"${GENOTYPE_REFINEMENT_DIR}" | ||
"${PRE_ANNOTATION_DIR}" | ||
"${PRE_ANNOTATION_MAF_DIR}" | ||
"${ANNOTATION_DIR}" | ||
"${ANNOTATION_GNOMAD_DIR}" | ||
) | ||
declare -a NUMBER | ||
for j in {1..22} X Y M; do NUMBER+=($j); done | ||
INDEX=${NUMBER[$SLURM_ARRAY_TASK_ID]} | ||
# Processing each directory | ||
for INPUT_DIR in "${INPUT_DIRS[@]}"; do | ||
echo " " | ||
echo "Working on directory: ${INPUT_DIR}" | ||
# Create an array of VCF files for the current chromosome | ||
mapfile -t vcf_files < <(ls ${INPUT_DIR}/chr${INDEX}_*.vcf.gz) | ||
# Process each VCF file in the directory | ||
for vcf in "${vcf_files[@]}"; do | ||
# Output file path for count results | ||
count_out="${QC_SUMMARY_STATS}/all_gvcf/${QV_MODEL}_$(basename "${vcf}" .vcf.gz)_qc.log" | ||
# Get basic variant counts | ||
echo "Input: ${vcf}" | ||
echo "Output: ${count_out}" | ||
bcftools +counts "${vcf}" > "${count_out}" | ||
done | ||
done | ||
echo "END AT $(date)" | ||
``` |