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
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Van der Auwera, G. A., Carneiro, M. O., Hartl, C., Poplin, R., del Angel, G., Levy‐Moonshine, A., Jordan, T., Shakir, K., Roazen, D., Thibault, J., et al. (2013) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi1110s43 · Cited by 6,687
Cited by
Breast tumours maintain a reservoir of subclonal diversity during expansion
Minussi, D. C., Nicholson, M. D., Ye, H., Davis, A., Wang, K., Baker, T., Tarabichi, M., Sei, E., Du, H., Rabbani, M., et al. (2021) · Nature · doi:10.1038/s41586-021-03357-x · Cited by 256
Beale, M. A., Marks, M., Cole, M. J., Lee, M.-K., Pitt, R., Ruis, C., Balla, E., Crucitti, T., Ewens, M., Fernández-Naval, C., et al. (2021) · Nature Microbiology · doi:10.1038/s41564-021-01000-z · Cited by 135
Carolus, H., Sofras, D., Boccarella, G., Sephton-Clark, P., Biriukov, V., Cauldron, N. C., Lobo Romero, C., Vergauwen, R., Yazdani, S., Pierson, S., et al. (2024) · Nature Microbiology · doi:10.1038/s41564-024-01854-z · Cited by 72
The complex geography of domestication of the African rice Oryza glaberrima
Choi, J. Y., Zaidem, M., Gutaker, R., Dorph, K., Singh, R. K., & Purugganan, M. D. (2019) · PLoS Genetics · doi:10.1371/journal.pgen.1007414 · Cited by 66
Clonal Candida auris and ESKAPE pathogens on the skin of residents of nursing homes
Proctor, D. M., Sansom, S. E., Deming, C., Conlan, S., Blaustein, R. A., Atkins, T. K., Program, N. C. S., Mullikin, J., Thomas, J., Young, A., et al. (2025) · Nature · doi:10.1038/s41586-025-08608-9 · Cited by 37
The dynamics of adaptation to stress from standing genetic variation and de novo mutations
Ament-Velásquez, S. L., Gilchrist, C., Rêgo, A., Bendixsen, D. P., Brice, C., Grosse-Sommer, J. M., Rafati, N., & Stelkens, R. (2022) · Molecular Biology and Evolution · doi:10.1093/molbev/msac242 · Cited by 31
Winter, D. J., Weir, B. S., Glare, T., Rhodes, J., Perrott, J., Fisher, M. C., Stajich, J. E., Digby, A., Dearden, P. K., & Cox, M. P. (2022) · iScience · doi:10.1016/j.isci.2022.105470 · Cited by 21
Parallel gene expansions drive rapid dietary adaptation in herbivorous woodrats
Klure, D. M., Greenhalgh, R., Orr, T. J., Shapiro, M. D., & Dearing, M. D. (2025) · Science · doi:10.1126/science.adp7978 · Cited by 17
Enhanced oxidative stress resistance in Ustilago maydis and its implications on the virulence
Cuamatzi-Flores, J., Colón-González, M., Requena-Romo, F., Quiñones-Galeana, S., Cervantes-Chávez, J. A., & Morales, L. (2024) · International Microbiology · doi:10.1007/s10123-024-00489-8 · Cited by 3
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.