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Correct way of merging samples for father, mother, child trio variant calling

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  • Correct way of merging samples for father, mother, child trio variant calling

    I am new to NGS data analysis and I'm working in a multiple-sample variant calling workflow. I have Illumina-Miseq fastq files (paired end, raw reads) for a father, mother and child trio, one pair for each individual, totalling 6 files. I could trim, align, do the pre-processing and variant calling for each individual pair separately (I'm skipping indel-realignment and quality recalibration, for the sake of simplicity, as this workflow is intended for learning only), but I wish to merge the samples into a single file. I wish that the alignment step (with BWA-MEN), the pre-processing steps (with Picard) and the variant calling step (with FreeBayes), are done at once for all samples, if possible and correct, while taking in consideration the correct paired end mates and the respective read groups (when applicable).

    My final goal is to obtain a single vcf file from which I'll compute the total number of different kinds of variants.

    At which step, in which file format and with which Galaxy tools can I merge the samples in a manner that I can get correct, meaninful results at the variant calling step?

  • #2

    in my opinion you have no benefit if you merge your reads and do all the steps at once. It should be enough to do the variant calling for all samples together. Freebayes have the possibility to define multiple bam files as inputs and the result will be a multisample vcf file.

    fin swimmer