vcfr: a package to manipulate and visualize variant call format data in R.

Area of Science:

• Bioinformatics
• Computational Biology
• Genetics

Background:

• The variant call format (VCF) is standard for genetic variant data.
• Existing tools often omit genotype quality information from VCF files.
• There is a need for comprehensive VCF data exploration tools.

Purpose of the Study:

• To develop an R package, vcfr, for comprehensive VCF file analysis.
• To enable extraction and visualization of genotype quality data.
• To facilitate integration with other genetic analysis tools in R.

Main Methods:

• Implementation of an R package, vcfr, for VCF file manipulation.
• Inclusion of functions for reading, writing, and subsetting VCF data.
• Development of visualization tools for data exploration and quality control.
• Integration with sequence (FASTA) and annotation (GFF) data.
• Performance optimization using C++ for computationally intensive tasks.

Main Results:

• vcfr provides novel functionalities for VCF data exploration within the R environment.
• The package enables visualization of data parameterizations and genomic regions.
• Data can be easily converted to formats compatible with other R genetics packages.
• Improved data quality control and analysis workflows are facilitated.

Conclusions:

• vcfr offers essential tools for VCF data exploration and quality control in R.
• The package enhances the utility of VCF data for genetic analyses.
• vcfr addresses a gap in existing R packages for genetic data analysis.