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| author | Mădălin Ionel Patrașcu <madalinionel.patrascu@mdc-berlin.de> | 2023-02-02 03:26:57 +0100 |
|---|---|---|
| committer | Ricardo Wurmus <rekado@elephly.net> | 2023-02-07 10:30:00 +0100 |
| commit | e7b4b691da5ea394716b7f9d299452ae64aea648 (patch) | |
| tree | 120d52c591247d11648529a8fe326fea7c29be17 /gnu | |
| parent | d451470b5d7ce911a7c2a4f0f9e8dc062ba6f504 (diff) | |
| download | guix-e7b4b691da5ea394716b7f9d299452ae64aea648.tar.gz | |
gnu: Add r-adacgh2.
* gnu/packages/bioconductor.scm (r-adacgh2): New variable. Co-authored-by: Ricardo Wurmus <rekado@elephly.net>
Diffstat (limited to 'gnu')
| -rw-r--r-- | gnu/packages/bioconductor.scm | 42 |
1 files changed, 42 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index cb610dd003..d2eb9a0daf 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -1826,6 +1826,48 @@ expression level and gene-specific dispersion, that might facilitate the gene ranking by fold-change and visualization.") (license license:gpl3+))) +(define-public r-adacgh2 + (package + (name "r-adacgh2") + (version "2.38.0") + (source + (origin + (method url-fetch) + (uri (bioconductor-uri "ADaCGH2" version)) + (sha256 + (base32 "0g9x3lnr56035wq9ijdcri4sz5pwj8184yxm415gmsxrii9xvpfd")))) + (properties `((upstream-name . "ADaCGH2"))) + (build-system r-build-system) + (arguments + (list + #:phases + '(modify-phases %standard-phases + (add-after 'unpack 'python3-compatibility + (lambda _ + (substitute* "inst/imagemap-example/toMap.py" + (("print nameMap") "print(nameMap)"))))))) + (inputs (list python-wrapper)) + (propagated-inputs + (list r-acgh + r-bit + r-cluster + r-dnacopy + r-ff + r-glad + r-snapcgh + r-tilingarray + r-waveslim)) + (home-page "https://github.com/rdiaz02/adacgh2") + (synopsis "Big data analysis from aCGH experiments") + (description + "This package analyzes and creates plots of array @acronym{CGH, +comparative genomic hybridization} data. Also, it allows usage of +@acronym{CBS, Circular Binary Segementation}, wavelet-based smoothing, HMM, +BioHMM, GLAD, CGHseg. Most computations are parallelized (either via forking +or with clusters, including MPI and sockets clusters) and use @code{ff} for +storing data.") + (license license:gpl3+))) + (define-public r-adam (package (name "r-adam") |