Difference between revisions of "CallSNPs.py"
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1. Calculate likelihoods of each possible variant, and apply piror and call variants. | 1. Calculate likelihoods of each possible variant, and apply piror and call variants. | ||
| − | samtool mpileup -E -d ''NUM'' -DSugB -Q 1 -f ''ref_file'' '' | + | samtool mpileup -E -d ''NUM'' -DSugB -Q 1 -f ''ref_file'' ''input_bam_file'' | bcftools view -cgbu - > ''output_bcf_file'' |
'''mpileup''' collects summary information from the input BAMs and then computes and stores the likelihood of data given each possible genotype. '''bcftools''' applies to prior and then calls the variants. Can be quite raw so often a filter is needed after this. | '''mpileup''' collects summary information from the input BAMs and then computes and stores the likelihood of data given each possible genotype. '''bcftools''' applies to prior and then calls the variants. Can be quite raw so often a filter is needed after this. | ||
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3. Extract features with minimum coverage | 3. Extract features with minimum coverage | ||
| − | bedtools genomecov -bga -ibam ''input_bam_file'' | awk -v t= | + | bedtools genomecov -bga -ibam ''input_bam_file'' | awk -v t=''NUM'' '{if($4>=t)print}' | bedtools merge -i - > ''output_bed_file'' |
| + | |||
| + | '''bedtools genomecov''' outputs the number of aligned short-read bases in the genome in a format (enabled by the '''-bga''' option) in the fourth column. This is picked up by the '''awk''' which ignores all those less than '''NUM'''. | ||
Revision as of 17:24, 1 April 2016
The call SNPS.py script is part of "script_tools" modules.
It requires an alignment in the shape of the base reference sequence and the bam files of the short reads aligned to that sequence (run previously, maybe with bwa or one of the bowtie programs).
Stages
1. Calculate likelihoods of each possible variant, and apply piror and call variants.
samtool mpileup -E -d NUM -DSugB -Q 1 -f ref_file input_bam_file | bcftools view -cgbu - > output_bcf_file
mpileup collects summary information from the input BAMs and then computes and stores the likelihood of data given each possible genotype. bcftools applies to prior and then calls the variants. Can be quite raw so often a filter is needed after this.
2. Filter variants through a maximum read depth
bcftools view bcf_file | vcfutils.pl varFilter -DNUM
bcftools view output the variants in VCF format and vcfutils.pl perl script , which is part of samtools platform, filters for variants via the -D option that sets the maximum value
3. Extract features with minimum coverage
bedtools genomecov -bga -ibam input_bam_file | awk -v t=NUM '{if($4>=t)print}' | bedtools merge -i - > output_bed_file
bedtools genomecov outputs the number of aligned short-read bases in the genome in a format (enabled by the -bga option) in the fourth column. This is picked up by the awk which ignores all those less than NUM.
