DOI: 10.18129/B9.bioc.gmoviz    

This is the development version of gmoviz; for the stable release version, see gmoviz.

Seamless visualization of complex genomic variations in GMOs and edited cell lines

Bioconductor version: Development (3.15)

Genetically modified organisms (GMOs) and cell lines are widely used models in all kinds of biological research. As part of characterising these models, DNA sequencing technology and bioinformatics analyses are used systematically to study their genomes. Therefore, large volumes of data are generated and various algorithms are applied to analyse this data, which introduces a challenge on representing all findings in an informative and concise manner. `gmoviz` provides users with an easy way to visualise and facilitate the explanation of complex genomic editing events on a larger, biologically-relevant scale.

Author: Kathleen Zeglinski <kathleen.zeglinski at>, Arthur Hsu <arthur.hsu at>, Monther Alhamdoosh <monther.alhamdoosh at>, Constantinos Koutsakis <Constantinos.Koutsakis at>

Maintainer: Kathleen Zeglinski <kathleen.zeglinski at>

Citation (from within R, enter citation("gmoviz")):


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biocViews Coverage, GeneticVariability, GenomicVariation, Sequencing, Software, Visualization
Version 1.7.0
In Bioconductor since BioC 3.11 (R-4.0) (1.5 years)
License GPL-3
Depends circlize, GenomicRanges, graphics, R (>= 4.0)
Imports grid, gridBase, Rsamtools, ComplexHeatmap, BiocGenerics, Biostrings, GenomeInfoDb, methods, GenomicAlignments, GenomicFeatures, IRanges, rtracklayer, pracma, colorspace, S4Vectors
Suggests testthat, knitr, rmarkdown, pasillaBamSubset, BiocStyle, BiocManager
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