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Cited by 1,075

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

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

Knaus, Brian J., Grünwald, Niklaus J.·2017·Molecular Ecology Resources

Abstract

Software to call single‐nucleotide polymorphisms or related genetic variants has converged on the variant call format (VCF) as the output format of choice. This has created a need for tools to work with VCF files. While an increasing number of software exists to read VCF data, many only extract the genotypes without including the data associated with each genotype that describes its quality. We created the r package vcfr to address this issue. We developed a VCF file exploration tool implemented in the r language because r provides an interactive experience and an environment that is commonly used for genetic data analysis. Functions to read and write VCF files into r as well as functions to extract portions of the data and to plot summary statistics of the data are implemented. vcfr further provides the ability to visualize how various parameterizations of the data affect the results. Additional tools are included to integrate sequence (fasta) and annotation data (GFF) for visualization of genomic regions such as chromosomes. Conversion functions translate data from the vcfr data structure to formats used by other r genetics packages. Computationally intensive functions are implemented in C++ to improve performance. Use of these tools is intended to facilitate VCF data exploration, including intuitive methods for data quality control and easy export to other r packages for further analysis. vcfr thus provides essential, novel tools currently not available in r.

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Metadata

Authors
Knaus, B. J., & Grünwald, N. J.
Venue
Molecular Ecology Resources
Publisher
Wiley
Published
2016-07-12
Volume
17
Issue
1
Pages
44-53
ISSN
  • 1755-098X (ISSN-L)
  • 1755-0998
OpenAlex
W2473818600
Cited by
1,075
References
3
FWCI
12.19
Type
journal article
Language
en
Open access
closed

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