Subject: [bug#59870] [PATCH 12/12] gnu: Add r-animalcules.

From: Mădălin Ionel Patrașcu<[email-masked]>
Date: Wed, 7 Dec 2022 06:18:37 +0100

* gnu/packages/bioconductor.scm (r-animalcules): New variable.
---
 gnu/packages/bioconductor.scm | 59 +++++++++++++++++++++++++++++++++++
 1 file changed, 59 insertions(+)

diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm
index c62c5970b8..fa5b38be86 100644
--- a/gnu/packages/bioconductor.scm
+++ b/gnu/packages/bioconductor.scm
@@ -2337,6 +2337,65 @@ (define-public r-ancombc
 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
+     "@code{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")
-- 
2.38.1