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author | Mathieu Othacehe <othacehe@gnu.org> | 2020-08-26 18:35:14 +0200 |
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committer | Mathieu Othacehe <othacehe@gnu.org> | 2020-08-26 18:35:14 +0200 |
commit | 17dddeeee560527a8f30d37761949d658056cb09 (patch) | |
tree | 15b0b19c55787f556eb9b42c28d173bddc5435db /gnu/packages/bioconductor.scm | |
parent | 331a09654eb7e9f6212b7e8469077fa7393e8b11 (diff) | |
parent | 6a9581741e4ee81226aeb2f1c997df76670a6aab (diff) | |
download | guix-17dddeeee560527a8f30d37761949d658056cb09.tar.gz guix-17dddeeee560527a8f30d37761949d658056cb09.zip |
Merge remote-tracking branch 'origin/master' into core-updates
Diffstat (limited to 'gnu/packages/bioconductor.scm')
-rw-r--r-- | gnu/packages/bioconductor.scm | 91 |
1 files changed, 64 insertions, 27 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index b191c8b4ae..6210a4b3f1 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -798,14 +798,14 @@ closely reconstructs the mutational profile.") (define-public r-nmf (package (name "r-nmf") - (version "0.22.0") + (version "0.23.0") (source (origin (method url-fetch) (uri (cran-uri "NMF" version)) (sha256 (base32 - "0b2ls3x1nkrnam45hagpys624nzxj3v7kxnp0q216yakvx5h57cq")))) + "0ls7q9yc9l1z10jphq5a11wkfgcxc3gm3sfjj376zx3vnc0wl30g")))) (properties `((upstream-name . "NMF"))) (build-system r-build-system) (propagated-inputs @@ -826,6 +826,8 @@ closely reconstructs the mutational profile.") ("r-reshape2" ,r-reshape2) ("r-rngtools" ,r-rngtools) ("r-stringr" ,r-stringr))) + (native-inputs + `(("r-knitr" ,r-knitr))) (home-page "http://renozao.github.io/NMF") (synopsis "Algorithms and framework for nonnegative matrix factorization") (description @@ -1502,14 +1504,14 @@ browser.") (define-public r-oligoclasses (package (name "r-oligoclasses") - (version "1.50.0") + (version "1.50.4") (source (origin (method url-fetch) (uri (bioconductor-uri "oligoClasses" version)) (sha256 (base32 - "05jy9qz3ir4maxackr1xqlfi1czhy1qd22wwibjdhfh5dp534cpn")))) + "1d8c3i8v8kcm1afgpz6zc1iysip7993y8456cqxl37f7n6n0ax67")))) (properties `((upstream-name . "oligoClasses"))) (build-system r-build-system) (propagated-inputs @@ -1537,14 +1539,14 @@ packages.") (define-public r-oligo (package (name "r-oligo") - (version "1.52.0") + (version "1.52.1") (source (origin (method url-fetch) (uri (bioconductor-uri "oligo" version)) (sha256 (base32 - "102szyiicws4c6l3k282236ml1m1vl9zmars4q1kdjfnvsyclfc4")))) + "1gpvr33pwzz1glzajcipvjcplb7yxvjj00q0ybqcc3wa47bhfkwd")))) (properties `((upstream-name . "oligo"))) (build-system r-build-system) (inputs `(("zlib" ,zlib))) @@ -3622,14 +3624,14 @@ information about samples and features can be added to the plot.") (define-public r-gosemsim (package (name "r-gosemsim") - (version "2.14.0") + (version "2.14.1") (source (origin (method url-fetch) (uri (bioconductor-uri "GOSemSim" version)) (sha256 (base32 - "0mg4d8whq90iyl2jjj5dx3kyar17yqn00jvia3b4a8lhmjw8l1hk")))) + "0v4q9xr1cm5xr08pgbzrss41kh3yz7xyh31n55l0sjmr1629ykln")))) (properties `((upstream-name . "GOSemSim"))) (build-system r-build-system) (propagated-inputs @@ -3810,14 +3812,14 @@ All the visualization methods are developed based on ggplot2 graphics.") (define-public r-clusterprofiler (package (name "r-clusterprofiler") - (version "3.16.0") + (version "3.16.1") (source (origin (method url-fetch) (uri (bioconductor-uri "clusterProfiler" version)) (sha256 (base32 - "0m7919gzrd2fddb4kcznwpshhab1ha2yppnkxg11zmh40wcdawyi")))) + "11zsgb8wbdv8r4c04iczz4aala4yw4ai7rz8igdzz87c0940nxkb")))) (properties `((upstream-name . "clusterProfiler"))) (build-system r-build-system) @@ -3832,6 +3834,7 @@ All the visualization methods are developed based on ggplot2 graphics.") ("r-magrittr" ,r-magrittr) ("r-plyr" ,r-plyr) ("r-qvalue" ,r-qvalue) + ("r-rlang" ,r-rlang) ("r-rvcheck" ,r-rvcheck) ("r-tidyr" ,r-tidyr))) (native-inputs @@ -4087,7 +4090,8 @@ Affymetrix arrays.") (properties `((upstream-name . "abseqR"))) (build-system r-build-system) (inputs - `(("pandoc" ,ghc-pandoc))) + `(("pandoc" ,pandoc) + ("pandoc-citeproc" ,pandoc-citeproc))) (propagated-inputs `(("r-biocparallel" ,r-biocparallel) ("r-biocstyle" ,r-biocstyle) @@ -4287,14 +4291,14 @@ Bioconductor.") (define-public r-motifstack (package (name "r-motifstack") - (version "1.32.0") + (version "1.32.1") (source (origin (method url-fetch) (uri (bioconductor-uri "motifStack" version)) (sha256 (base32 - "008f2mjcyyiz84ilrsldpqwvxy2lp93hjggrq4nrqwi78nyx3ls5")))) + "02vmkgn36n5xpmizy33znlzgmi3w5hnhsibgisbnhwwgxpkrwpcd")))) (properties `((upstream-name . "motifStack"))) (build-system r-build-system) (propagated-inputs @@ -5236,14 +5240,14 @@ This algorithm is based on the publication by Hart et al., 2013 (Pubmed ID (define-public r-rbowtie2 (package (name "r-rbowtie2") - (version "1.10.0") + (version "1.10.1") (source (origin (method url-fetch) (uri (bioconductor-uri "Rbowtie2" version)) (sha256 (base32 - "1z2dn0q3wcw8b9ibx388kh7p5km16i71sw9miqj3daw7g0v5bxp3")))) + "19v7wfvrd53j618c1xbiqnlsf2kxw697myryx0vb9s2aspknyzz7")))) (properties `((upstream-name . "Rbowtie2"))) (build-system r-build-system) (inputs @@ -5314,14 +5318,14 @@ Infinium HumanMethylation 450k assay.") (define-public r-biocfilecache (package (name "r-biocfilecache") - (version "1.12.0") + (version "1.12.1") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocFileCache" version)) (sha256 (base32 - "02chrzwccmazi7rdfpyriizhbgxyxlmprlw32w05wk54as6wrxv8")))) + "02yayjyliaqxcwqa0n2ccmsfflskqzf0gvdibh2r3nz5bi66imkf")))) (properties `((upstream-name . "BiocFileCache"))) (build-system r-build-system) (propagated-inputs @@ -5376,14 +5380,14 @@ Gaussian distributions.") (define-public r-rbowtie (package (name "r-rbowtie") - (version "1.28.0") + (version "1.28.1") (source (origin (method url-fetch) (uri (bioconductor-uri "Rbowtie" version)) (sha256 (base32 - "06y1qp915dlwjdi2fs3344sgya55pcv07f3i61y0cxb0bhbcgvrz")))) + "0589ggbfx6di42wvqyhnzgrhmb52swr3r5z22w6b8x0z2y7hl8b3")))) (properties `((upstream-name . "Rbowtie"))) (build-system r-build-system) (inputs @@ -5781,14 +5785,14 @@ annotations.") (define-public r-rsubread (package (name "r-rsubread") - (version "2.2.4") + (version "2.2.6") (source (origin (method url-fetch) (uri (bioconductor-uri "Rsubread" version)) (sha256 (base32 - "0yznfqgp5cbz68n3rrfvm752267da16kl538zdrb1g1aw9zdfqc6")))) + "04h79qhq93d8id0rr5xnj9vf82ygwxzdlnck78yv738xd0jjvnpm")))) (properties `((upstream-name . "Rsubread"))) (build-system r-build-system) (inputs `(("zlib" ,zlib))) @@ -7048,14 +7052,14 @@ arrays based on fast wavelet-based functional models.") (define-public r-variancepartition (package (name "r-variancepartition") - (version "1.18.2") + (version "1.18.3") (source (origin (method url-fetch) (uri (bioconductor-uri "variancePartition" version)) (sha256 (base32 - "19bhkb8vd44m3nkznw075fx3y2p3a1bsazbhcfiqw9n4190k9bgv")))) + "1jrlhi2c5ibvq8a41g5hwdq4kk4rdd7m464rz5767zaaci7l2ay0")))) (properties `((upstream-name . "variancePartition"))) (build-system r-build-system) @@ -7762,14 +7766,14 @@ different graph related packages produced by Bioconductor.") (define-public r-experimenthub (package (name "r-experimenthub") - (version "1.14.0") + (version "1.14.2") (source (origin (method url-fetch) (uri (bioconductor-uri "ExperimentHub" version)) (sha256 (base32 - "18d6kjfavy5b769gpkblihdkz2nz2hsgyjki8mp1sywi0ik08ncd")))) + "1kgvprchz1fg8pl1irj62mk2gyb4jcc9iimpypv4c2iccy5bp84x")))) (properties `((upstream-name . "ExperimentHub"))) (build-system r-build-system) (propagated-inputs @@ -7955,14 +7959,14 @@ analytics on packages.") (define-public r-biocset (package (name "r-biocset") - (version "1.2.1") + (version "1.2.2") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocSet" version)) (sha256 (base32 - "14dmkc878lskbm001kgjyqmrwnn6s032z4h64f617f1xd9zx9wrj")))) + "041hq3rp0kv7kjwcjjrksk8lw3sj6j1v3wdcr8z611k0g0z6p0cj")))) (properties `((upstream-name . "BiocSet"))) (build-system r-build-system) (propagated-inputs @@ -8116,3 +8120,36 @@ dimensional mass cytometry data.") Tool) analysis automatic by constructing a HTTP POST request according to user's input and automatically retrieving results from GREAT web server.") (license license:expat))) + +(define-public r-m3c + (package + (name "r-m3c") + (version "1.10.0") + (source + (origin + (method url-fetch) + (uri (bioconductor-uri "M3C" version)) + (sha256 + (base32 + "0zq8lm4280p8h65i7myscwa4srs5ajh944xv6zni2f5sjyp7ij2y")))) + (properties `((upstream-name . "M3C"))) + (build-system r-build-system) + (propagated-inputs + `(("r-cluster" ,r-cluster) + ("r-corpcor" ,r-corpcor) + ("r-doparallel" ,r-doparallel) + ("r-dosnow" ,r-dosnow) + ("r-foreach" ,r-foreach) + ("r-ggplot2" ,r-ggplot2) + ("r-matrix" ,r-matrix) + ("r-matrixcalc" ,r-matrixcalc) + ("r-rtsne" ,r-rtsne) + ("r-umap" ,r-umap))) + (native-inputs `(("r-knitr" ,r-knitr))) + (home-page "https://bioconductor.org/packages/M3C") + (synopsis "Monte Carlo reference-based consensus clustering") + (description + "M3C is a consensus clustering algorithm that uses a Monte Carlo +simulation to eliminate overestimation of @code{K} and can reject the null +hypothesis @code{K=1}.") + (license license:agpl3+))) |