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author | Mădălin Ionel Patrașcu <madalinionel.patrascu@mdc-berlin.de> | 2022-12-07 06:18:37 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2022-12-12 17:30:05 +0100 |
commit | e0746ee4c4dab5b4bff9af4cb8b6256ef7888c42 (patch) | |
tree | a84013454f12fa22996d2b37cea67467843745a3 /gnu | |
parent | 8f80c99e2bbb8f3025f938a544ffbc598b9d1408 (diff) |
gnu: Add r-animalcules.
* gnu/packages/bioconductor.scm (r-animalcules): New variable.
Diffstat (limited to 'gnu')
-rw-r--r-- | gnu/packages/bioconductor.scm | 59 |
1 files changed, 59 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index 85c07605ca..66fa69fade 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -2384,6 +2384,65 @@ Methodologies included in the @code{ANCOMBC} package were designed to correct these biases and construct statistically consistent estimators.") (license license:artistic2.0))) +(define-public r-animalcules + (package + (name "r-animalcules") + (version "1.14.0") + (source (origin + (method url-fetch) + (uri (bioconductor-uri "animalcules" version)) + (sha256 + (base32 + "1alpsamrglgvzhcibkaf7m3gyiv61wbj1gvsq4lw6vjka100j9qr")))) + (properties `((upstream-name . "animalcules"))) + (build-system r-build-system) + (propagated-inputs + (list r-ape + r-assertthat + r-biomformat + r-caret + r-covr + r-deseq2 + r-dplyr + r-dt + r-forcats + r-ggplot2 + r-glmnet + r-gunifrac + r-lattice + r-limma + r-magrittr + r-matrix + r-multiassayexperiment + r-plotly + r-plotroc + r-rentrez + r-reshape2 + r-s4vectors + r-scales + r-shiny + r-shinyjs + r-summarizedexperiment + r-tibble + r-tsne + r-umap + r-vegan + r-xml)) + (native-inputs (list r-knitr)) + (home-page "https://github.com/compbiomed/animalcules") + (synopsis "Interactive microbiome analysis toolkit") + (description + "Animalcules is an R package for utilizing up-to-date data analytics, +visualization methods, and machine learning models to provide users an +easy-to-use interactive microbiome analysis framework. It can be used as a +standalone software package or users can explore their data with the +accompanying interactive R Shiny application. Traditional microbiome analysis +such as alpha/beta diversity and differential abundance analysis are enhanced, +while new methods like biomarker identification are introduced by animalcules. +Powerful interactive and dynamic figures generated by animalcules enable users +to understand their data better and discover new insights.") + (license license:artistic2.0))) + (define-public r-aldex2 (package (name "r-aldex2") |