genomics-vcf-operations

To calculate the Ti/Tv ratio for VCF variant analysis, generate variant statistics that mirror bcftools stats. This process evaluates transition and transversion rates alongside quality metrics for genomic data.

To parse multi-allelic variants in a VCF file, perform multi-allelic parsing and variant classification. This mechanism handles complex variant types, categorizing them as SNP, INDEL, MNP, or COMPLEX for accurate reporting.

You can merge multiple VCF files into a single coherent file using VCF merging operations. This combines separate variant datasets while maintaining structural consistency for downstream genomic analysis.

This VCF filtering approach mirrors bcftools statistics and GATK SelectVariants functionality. It replicates variant classification and filtering logic without requiring intricate command-line tool operations.

The best way to keep only PASS variants in a large VCF file is applying filters based on QUAL, DP, and INFO fields. This generates a filtered dataset and a summary report of the remaining variants.