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-rw-r--r--gnu/packages/bioconductor.scm79
1 files changed, 79 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm
index 74620a2cbe..ea43bf2fdf 100644
--- a/gnu/packages/bioconductor.scm
+++ b/gnu/packages/bioconductor.scm
@@ -5089,6 +5089,41 @@ by a sparse number of variables, this method can reduce the complexity of
data, to only emphasize the data that actually matters.")
(license license:expat)))
+(define-public r-rcistarget
+ (package
+ (name "r-rcistarget")
+ (version "1.4.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (bioconductor-uri "RcisTarget" version))
+ (sha256
+ (base32
+ "133x2vr86ifbk82q08x1c8q19zsk5za7b6qrzz77dhsyf4bhcvpd"))))
+ (properties `((upstream-name . "RcisTarget")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-aucell" ,r-aucell)
+ ("r-biocgenerics" ,r-biocgenerics)
+ ("r-data-table" ,r-data-table)
+ ("r-feather" ,r-feather)
+ ("r-gseabase" ,r-gseabase)
+ ("r-r-utils" ,r-r-utils)
+ ("r-summarizedexperiment" ,r-summarizedexperiment)))
+ (home-page "https://aertslab.org/#scenic")
+ (synopsis "Identify transcription factor binding motifs enriched on a gene list")
+ (description
+ "RcisTarget identifies @dfn{transcription factor binding motifs} (TFBS)
+over-represented on a gene list. In a first step, RcisTarget selects DNA
+motifs that are significantly over-represented in the surroundings of the
+@dfn{transcription start site} (TSS) of the genes in the gene-set. This is
+achieved by using a database that contains genome-wide cross-species rankings
+for each motif. The motifs that are then annotated to TFs and those that have
+a high @dfn{Normalized Enrichment Score} (NES) are retained. Finally, for
+each motif and gene-set, RcisTarget predicts the candidate target genes (i.e.
+genes in the gene-set that are ranked above the leading edge).")
+ (license license:gpl3)))
+
(define-public r-cicero
(package
(name "r-cicero")
@@ -5151,3 +5186,47 @@ accessibility data.")
`(("r-monocle3" ,r-monocle3)
,@(alist-delete "r-monocle"
(package-propagated-inputs r-cicero)))))))
+
+(define-public r-cistopic
+ (let ((commit "29abd8df9afb60ff27ac3f0a590930debe926950")
+ (revision "0"))
+ (package
+ (name "r-cistopic")
+ (version (git-version "0.2.1" revision commit))
+ (source
+ (origin
+ (method git-fetch)
+ (uri (git-reference
+ (url "https://github.com/aertslab/cisTopic.git")
+ (commit commit)))
+ (file-name (git-file-name name version))
+ (sha256
+ (base32
+ "0s8irpsv5d2zcv4ihanvsf1vrpignzliscxnvs4519af3jmx78h8"))))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-aucell" ,r-aucell)
+ ("r-data-table" ,r-data-table)
+ ("r-dplyr" ,r-dplyr)
+ ("r-dosnow" ,r-dosnow)
+ ("r-dt" ,r-dt)
+ ("r-feather" ,r-feather)
+ ("r-fitdistrplus" ,r-fitdistrplus)
+ ("r-genomicranges" ,r-genomicranges)
+ ("r-ggplot2" ,r-ggplot2)
+ ("r-lda" ,r-lda)
+ ("r-matrix" ,r-matrix)
+ ("r-plyr" ,r-plyr)
+ ("r-rcistarget" ,r-rcistarget)
+ ("r-rtracklayer" ,r-rtracklayer)
+ ("r-s4vectors" ,r-s4vectors)))
+ (home-page "https://github.com/aertslab/cisTopic")
+ (synopsis "Modelling of cis-regulatory topics from single cell epigenomics data")
+ (description
+ "The sparse nature of single cell epigenomics data can be overruled using
+probabilistic modelling methods such as @dfn{Latent Dirichlet
+Allocation} (LDA). This package allows the probabilistic modelling of
+cis-regulatory topics (cisTopics) from single cell epigenomics data, and
+includes functionalities to identify cell states based on the contribution of
+cisTopics and explore the nature and regulatory proteins driving them.")
+ (license license:gpl3))))