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Open AccessJournal ArticleDOI

karyoploteR: an R/Bioconductor package to plot customizable genomes displaying arbitrary data.

Bernat Gel, +1 more
- 01 Oct 2017 - 
- Vol. 33, Iss: 19, pp 3088-3090
TLDR
KaryoploteR as mentioned in this paper is an R/Bioconductor package to create linear chromosomal representations of any genome with genomic annotations and experimental data plotted along them, which allows the creation of highly customizable plots from arbitrary data with complete freedom on data positioning and representation.
Abstract
Motivation Data visualization is a crucial tool for data exploration, analysis and interpretation. For the visualization of genomic data there lacks a tool to create customizable non-circular plots of whole genomes from any species. Results We have developed karyoploteR, an R/Bioconductor package to create linear chromosomal representations of any genome with genomic annotations and experimental data plotted along them. Plot creation process is inspired in R base graphics, with a main function creating karyoplots with no data and multiple additional functions, including custom functions written by the end-user, adding data and other graphical elements. This approach allows the creation of highly customizable plots from arbitrary data with complete freedom on data positioning and representation. Availability and implementation karyoploteR is released under Artistic-2.0 License. Source code and documentation are freely available through Bioconductor (http://www.bioconductor.org/packages/karyoploteR) and at the examples and tutorial page at https://bernatgel.github.io/karyoploter_tutorial. Contact bgel@igtp.cat.

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Citations
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The complete sequence of a human genome

TL;DR: The T2T-CHM13-T2T Consortium presented a complete 3.055 billion-base pair sequence of a human genome, including gapless assemblies for all chromosomes except Y, corrected errors in the prior references, and introduced nearly 200 million base pairs of sequence containing gene predictions, 99 of which are predicted to be protein coding as discussed by the authors .
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Genomic architecture and introgression shape a butterfly radiation

TL;DR: Tests to distinguish incomplete lineage sorting from introgression indicate that gene flow has obscured several ancient phylogenetic relationships in this group over large swathes of the genome, and a hitherto unknown inversion that traps a color pattern switch locus is identified.
Journal ArticleDOI

RIdeogram: drawing SVG graphics to visualize and map genome-wide data on the idiograms.

TL;DR: The visualization of genome-wide data mapping and comparison allow users to quickly establish a clear impression of the chromosomal distribution pattern, thus making RIdeogram a useful tool for any researchers working with omics.
References
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Journal ArticleDOI

Circos: An information aesthetic for comparative genomics

TL;DR: Circos uses a circular ideogram layout to facilitate the display of relationships between pairs of positions by the use of ribbons, which encode the position, size, and orientation of related genomic elements.
Book ChapterDOI

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TL;DR: The Gviz package offers a flexible framework to visualize genomic data in the context of a variety of different genome annotation features, and greatly facilitates the production of publication-ready figures of genomic loci.
Journal ArticleDOI

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TL;DR: RCircos package provides a simple and flexible way to make Circos 2D track plots with R and could be easily integrated into other R data processing and graphic manipulation pipelines for presenting large-scale multi-sample genomic research data.
Journal ArticleDOI

regioneR: an R/Bioconductor package for the association analysis of genomic regions based on permutation tests

TL;DR: regioneR as discussed by the authors is an R package that implements a permutation test framework specifically designed to work with genomic regions, which is fully customizable allowing the use of custom strategies to adapt it to specific questions.
Journal ArticleDOI

ggbio: an R package for extending the grammar of graphics for genomic data.

TL;DR: Ggbio, a new methodology to visualize and explore genomics annotations and high-throughput data, is introduced, which provides detailed views of genomic regions, summary views of sequence alignments and splicing patterns, and genome-wide overview through karyogram, circular and grand linear layouts.
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