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-rw-r--r--gnu/packages/bioconductor.scm74
1 files changed, 66 insertions, 8 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm
index 3810749f83..5ffb7c4e3c 100644
--- a/gnu/packages/bioconductor.scm
+++ b/gnu/packages/bioconductor.scm
@@ -1153,14 +1153,14 @@ determining dependencies between variables, code improvement suggestions.")
(define-public r-chippeakanno
(package
(name "r-chippeakanno")
- (version "3.18.0")
+ (version "3.18.1")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "ChIPpeakAnno" version))
(sha256
(base32
- "089v16mm5m0rlyyyd0d6rz8gwb852zf3bcdrrw70wanlfjn258q7"))))
+ "1mwi5s600c3jxy8f1azfrndc3g06qvhbmrp9wqac9nwjbfx1kfji"))))
(properties `((upstream-name . "ChIPpeakAnno")))
(build-system r-build-system)
(propagated-inputs
@@ -2086,14 +2086,14 @@ independent of the p-value under the null hypothesis.")
(define-public r-icobra
(package
(name "r-icobra")
- (version "1.12.0")
+ (version "1.12.1")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "iCOBRA" version))
(sha256
(base32
- "1w9frnczgypzc2czbwrvlizqcqhbp6cdpyws7vkmnn9k0ggzxvfc"))))
+ "1wj0vqyb6h4rddmn4va3182yap9bv4m1r1jlzyjfyrqxhl2sqb1q"))))
(properties `((upstream-name . "iCOBRA")))
(build-system r-build-system)
(propagated-inputs
@@ -2886,14 +2886,14 @@ to multiple hypothesis correction.")
(define-public r-dose
(package
(name "r-dose")
- (version "3.10.0")
+ (version "3.10.1")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "DOSE" version))
(sha256
(base32
- "0dvhnfhzhhzcxm8zhdwrkif7sak4p888sjqfd3a0p77h0hs6g8pv"))))
+ "0ab7mgj42fg6608qkciyqivr1n8s8r5ibvp0z3jfclrnyx6cl0w1"))))
(properties `((upstream-name . "DOSE")))
(build-system r-build-system)
(propagated-inputs
@@ -3408,14 +3408,14 @@ position-specific scores within R and Bioconductor.")
(define-public r-atacseqqc
(package
(name "r-atacseqqc")
- (version "1.8.0")
+ (version "1.8.1")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "ATACseqQC" version))
(sha256
(base32
- "03f130vcd6hd3fv2pg60id0ddd6qkwsyx73gm907xaayf42ar2pj"))))
+ "0h5j3724hnd86w22vy3whqx6gkf0nf2dxd2clgzdvjzblbcd5s69"))))
(properties `((upstream-name . "ATACseqQC")))
(build-system r-build-system)
(propagated-inputs
@@ -4548,3 +4548,61 @@ high-throughput sequencing data. It performs parallel processing of entire
files and produces a report which contains a set of high-resolution
graphics.")
(license license:gpl2+)))
+
+(define-public r-birewire
+ (package
+ (name "r-birewire")
+ (version "3.16.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (bioconductor-uri "BiRewire" version))
+ (sha256
+ (base32
+ "1gjb18l3gq3w8zl6r5d49hw0r1kfh9f7ghv9hz6y86aniprvb518"))))
+ (properties `((upstream-name . "BiRewire")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-igraph" ,r-igraph)
+ ("r-matrix" ,r-matrix)
+ ("r-slam" ,r-slam)
+ ("r-tsne" ,r-tsne)))
+ (home-page "https://bioconductor.org/packages/release/bioc/html/BiRewire.html")
+ (synopsis "Tools for randomization of bipartite graphs")
+ (description
+ "This package provides functions for bipartite network rewiring through N
+consecutive switching steps and for the computation of the minimal number of
+switching steps to be performed in order to maximise the dissimilarity with
+respect to the original network. It includes functions for the analysis of
+the introduced randomness across the switching steps and several other
+routines to analyse the resulting networks and their natural projections.")
+ (license license:gpl3)))
+
+(define-public r-birta
+ (package
+ (name "r-birta")
+ (version "1.28.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (bioconductor-uri "birta" version))
+ (sha256
+ (base32
+ "12xjyvgmh4h0b7hi4qg50kcpb9003gnh2xyfgncb8l9mzvsbkxc2"))))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-biobase" ,r-biobase)
+ ("r-limma" ,r-limma)
+ ("r-mass" ,r-mass)))
+ (home-page "https://bioconductor.org/packages/birta")
+ (synopsis "Bayesian inference of regulation of transcriptional activity")
+ (description
+ "Expression levels of mRNA molecules are regulated by different
+processes, comprising inhibition or activation by transcription factors and
+post-transcriptional degradation by microRNAs. @dfn{birta} (Bayesian
+Inference of Regulation of Transcriptional Activity) uses the regulatory
+networks of transcription factors and miRNAs together with mRNA and miRNA
+expression data to predict switches in regulatory activity between two
+conditions. A Bayesian network is used to model the regulatory structure and
+Markov-Chain-Monte-Carlo is applied to sample the activity states.")
+ (license license:gpl2+)))