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ZygosityPredictor

Package for prediction of zygosity for variants/genes in NGS data

Bioconductor version: 3.23 · Package version: 1.12.0

The ZygosityPredictor allows to predict how many copies of a gene are affected by small variants. In addition to the basic calculations of the affected copy number of a variant, the Zygosity-Predictor can integrate the influence of several variants on a gene and ultimately make a statement if and how many wild-type copies of the gene are left. This information proves to be of particular use in the context of translational medicine. For example, in cancer genomes, the Zygosity-Predictor can address whether unmutated copies of tumor-suppressor genes are present. Beyond this, it is possible to make this statement for all genes of an organism. The Zygosity-Predictor was primarily developed to handle SNVs and INDELs (later addressed as small-variants) of somatic and germline origin. In order not to overlook severe effects outside of the small-variant context, it has been extended with the assessment of large scale deletions, which cause losses of whole genes or parts of them.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ZygosityPredictor")

Details

MaintainerMarco Rheinnecker <marco.rheinnecker@dkfz-heidelberg.de>
AuthorMarco Rheinnecker [aut, cre] (ORCID: <https://orcid.org/0009-0009-7181-3977>), Marc Ruebsam [aut], Daniel Huebschmann [aut], Martina Froehlich [aut], Barbara Hutter [aut]
LicenseGPL-2
Downloads rank204
Source branchRELEASE_3_23
biocViewsBiomedicalInformatics, FunctionalPrediction, GenePrediction, Software, SomaticMutation

Documentation

Download

Dependencies

Depends: R (>= 4.3.0)

Imports: GenomicAlignments, GenomicRanges, Rsamtools, IRanges, VariantAnnotation, DelayedArray, dplyr, stringr, purrr, tibble, methods, knitr, igraph, readr, stats, magrittr, rlang

Suggests: rmarkdown, testthat, BiocStyle