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gnu: r-seurat: Move to (gnu packages cran).
* gnu/packages/bioinformatics.scm (r-seurat): Move from here... * gnu/packages/cran.scm (r-seurat): ...to here. Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
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2 changed files with 65 additions and 65 deletions
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@ -9735,71 +9735,6 @@ (define-public r-msnid
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and irregular enzymatic cleavages, mass measurement accuracy, etc.")
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(license license:artistic2.0)))
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(define-public r-seurat
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(package
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(name "r-seurat")
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(version "3.2.0")
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(source (origin
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(method url-fetch)
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(uri (cran-uri "Seurat" version))
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(sha256
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(base32
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"1vj3dlsqakgnn4x1jz9fkl2cy0jzc5s65h1c20fnamr7lk45pnf2"))))
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(properties `((upstream-name . "Seurat")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-ape" ,r-ape)
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("r-cluster" ,r-cluster)
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("r-cowplot" ,r-cowplot)
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("r-fitdistrplus" ,r-fitdistrplus)
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("r-future" ,r-future)
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("r-future-apply" ,r-future-apply)
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("r-ggplot2" ,r-ggplot2)
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("r-ggrepel" ,r-ggrepel)
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("r-ggridges" ,r-ggridges)
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("r-httr" ,r-httr)
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("r-ica" ,r-ica)
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("r-igraph" ,r-igraph)
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("r-irlba" ,r-irlba)
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("r-jsonlite" ,r-jsonlite)
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("r-kernsmooth" ,r-kernsmooth)
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("r-leiden" ,r-leiden)
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("r-lmtest" ,r-lmtest)
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("r-mass" ,r-mass)
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("r-matrix" ,r-matrix)
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("r-miniui" ,r-miniui)
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("r-patchwork" ,r-patchwork)
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("r-pbapply" ,r-pbapply)
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("r-plotly" ,r-plotly)
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("r-png" ,r-png)
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("r-rann" ,r-rann)
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("r-rcolorbrewer" ,r-rcolorbrewer)
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("r-rcpp" ,r-rcpp)
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("r-rcppannoy" ,r-rcppannoy)
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("r-rcppeigen" ,r-rcppeigen)
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("r-rcppprogress" ,r-rcppprogress)
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("r-reticulate" ,r-reticulate)
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("r-rlang" ,r-rlang)
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("r-rocr" ,r-rocr)
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("r-rsvd" ,r-rsvd)
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("r-rtsne" ,r-rtsne)
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("r-scales" ,r-scales)
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("r-sctransform" ,r-sctransform)
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("r-shiny" ,r-shiny)
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("r-spatstat" ,r-spatstat)
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("r-tibble" ,r-tibble)
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("r-uwot" ,r-uwot)))
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(home-page "http://www.satijalab.org/seurat")
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(synopsis "Seurat is an R toolkit for single cell genomics")
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(description
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"This package is an R package designed for QC, analysis, and
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exploration of single cell RNA-seq data. It easily enables widely-used
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analytical techniques, including the identification of highly variable genes,
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dimensionality reduction; PCA, ICA, t-SNE, standard unsupervised clustering
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algorithms; density clustering, hierarchical clustering, k-means, and the
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discovery of differentially expressed genes and markers.")
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(license license:gpl3)))
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(define-public r-aroma-light
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(package
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(name "r-aroma-light")
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@ -24431,3 +24431,68 @@ (define-public r-maldiquant
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alignment using warping functions, handling of replicated measurements as well
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as allowing spectra with different resolutions.")
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(license license:gpl3+)))
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(define-public r-seurat
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(package
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(name "r-seurat")
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(version "3.2.0")
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(source (origin
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(method url-fetch)
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(uri (cran-uri "Seurat" version))
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(sha256
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(base32
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"1vj3dlsqakgnn4x1jz9fkl2cy0jzc5s65h1c20fnamr7lk45pnf2"))))
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(properties `((upstream-name . "Seurat")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-ape" ,r-ape)
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("r-cluster" ,r-cluster)
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("r-cowplot" ,r-cowplot)
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("r-fitdistrplus" ,r-fitdistrplus)
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("r-future" ,r-future)
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("r-future-apply" ,r-future-apply)
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("r-ggplot2" ,r-ggplot2)
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("r-ggrepel" ,r-ggrepel)
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("r-ggridges" ,r-ggridges)
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("r-httr" ,r-httr)
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("r-ica" ,r-ica)
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("r-igraph" ,r-igraph)
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("r-irlba" ,r-irlba)
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("r-jsonlite" ,r-jsonlite)
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("r-kernsmooth" ,r-kernsmooth)
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("r-leiden" ,r-leiden)
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("r-lmtest" ,r-lmtest)
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("r-mass" ,r-mass)
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("r-matrix" ,r-matrix)
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("r-miniui" ,r-miniui)
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("r-patchwork" ,r-patchwork)
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("r-pbapply" ,r-pbapply)
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("r-plotly" ,r-plotly)
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("r-png" ,r-png)
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("r-rann" ,r-rann)
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("r-rcolorbrewer" ,r-rcolorbrewer)
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("r-rcpp" ,r-rcpp)
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("r-rcppannoy" ,r-rcppannoy)
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("r-rcppeigen" ,r-rcppeigen)
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("r-rcppprogress" ,r-rcppprogress)
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("r-reticulate" ,r-reticulate)
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("r-rlang" ,r-rlang)
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("r-rocr" ,r-rocr)
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("r-rsvd" ,r-rsvd)
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("r-rtsne" ,r-rtsne)
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("r-scales" ,r-scales)
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("r-sctransform" ,r-sctransform)
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("r-shiny" ,r-shiny)
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("r-spatstat" ,r-spatstat)
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("r-tibble" ,r-tibble)
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("r-uwot" ,r-uwot)))
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(home-page "http://www.satijalab.org/seurat")
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(synopsis "Seurat is an R toolkit for single cell genomics")
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(description
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"This package is an R package designed for QC, analysis, and
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exploration of single cell RNA-seq data. It easily enables widely-used
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analytical techniques, including the identification of highly variable genes,
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dimensionality reduction; PCA, ICA, t-SNE, standard unsupervised clustering
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algorithms; density clustering, hierarchical clustering, k-means, and the
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discovery of differentially expressed genes and markers.")
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(license license:gpl3)))
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