Package: RIdeogram 0.2.2

RIdeogram: Drawing SVG Graphics to Visualize and Map Genome-Wide Data on Idiograms

For whole-genome analysis, idiograms are virtually the most intuitive and effective way to map and visualize the genome-wide information. RIdeogram was developed to visualize and map whole-genome data on idiograms with no restriction of species.

Authors:Zhaodong Hao [aut, cre], Dekang Lv [aut], Ying Ge [aut], Jisen Shi [aut], Weijers Dolf [aut], Guangchuang Yu [aut], Jinhui Chen [aut]

RIdeogram_0.2.2.tar.gz
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RIdeogram.pdf |RIdeogram.html✨
RIdeogram/json (API)

# Install 'RIdeogram' in R:
install.packages('RIdeogram', repos = c('https://tickingclock1992.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tickingclock1992/rideogram/issues

Datasets:

On CRAN:

7 exports 153 stars 5.18 score 42 dependencies 9 mentions 50 scripts 401 downloads

Last updated 4 years agofrom:aaaa2b303c. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 02 2024
R-4.5-winWARNINGSep 02 2024
R-4.5-linuxWARNINGSep 02 2024
R-4.4-winWARNINGSep 02 2024
R-4.4-macWARNINGSep 02 2024
R-4.3-winWARNINGSep 02 2024
R-4.3-macWARNINGSep 02 2024

Exports:convertSVGGFFexideogramsvg2jpgsvg2pdfsvg2pngsvg2tiff

Dependencies:base64encclicolorspacecpp11dplyrfansifarvergenericsggplot2gluegrImport2gtableisobandjpeglabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpngpurrrR6RColorBrewerrlangrsvgscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrXML

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

Zhaodong Hao

Rendered fromRIdeogram.Rmdusingknitr::rmarkdownon Sep 02 2024.

Last update: 2020-01-20
Started: 2018-12-27