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gnu: Add r-ancombc.

* gnu/packages/bioconductor.scm (r-ancombc): New variable.
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Mădălin Ionel Patrașcu 2022-06-19 22:42:01 +02:00 committed by Ricardo Wurmus
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@ -2284,6 +2284,52 @@ of Medical Research. The goal is to provide a standard library for quantitative
analysis, modelling, and visualization of spike-in controls.")
(license license:bsd-3)))
(define-public r-ancombc
(package
(name "r-ancombc")
(version "1.6.1")
(source (origin
(method url-fetch)
(uri (bioconductor-uri "ANCOMBC" version))
(sha256
(base32
"1p9yryv85qk7m3hbflmpdffd3azpsifcw54x1rp8sb67yjmq3whq"))))
(properties `((upstream-name . "ANCOMBC")))
(build-system r-build-system)
(propagated-inputs
(list r-desctools
r-doparallel
r-dorng
r-dplyr
r-energy
r-foreach
r-hmisc
r-magrittr
r-mass
r-microbiome
r-nlme
r-nloptr
r-phyloseq
r-rdpack
r-rlang
r-tibble
r-tidyr))
(native-inputs (list r-knitr))
(home-page "https://github.com/FrederickHuangLin/ANCOMBC")
(synopsis "Analysis of compositions of microbiomes with bias correction")
(description
"@code{ANCOMBC} is a package containing @dfn{differential abundance} (DA)
and correlation analyses for microbiome data. Specifically, the package
includes @dfn{Analysis of Compositions of Microbiomes with Bias
Correction}(ANCOM-BC) and @dfn{Analysis of Composition of Microbiomes} (ANCOM)
for DA analysis, and @dfn{Sparse Estimation of Correlations among
Microbiomes} (SECOM) for correlation analysis. Microbiome data are typically
subject to two sources of biases: unequal sampling fractions (sample-specific
biases) and differential sequencing efficiencies (taxon-specific biases).
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-aldex2
(package
(name "r-aldex2")