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author | Mădălin Ionel Patrașcu <madalinionel.patrascu@mdc-berlin.de> | 2023-02-02 03:26:53 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2023-02-07 10:29:59 +0100 |
commit | 372843576d0efd50d2d4d97dd536b7293e9dc180 (patch) | |
tree | 64fb7de4fa9f02639a59899aecc6e5cca48c2b94 | |
parent | c738ab4805819799c0e8f9db7b016802fa48076b (diff) | |
download | guix-372843576d0efd50d2d4d97dd536b7293e9dc180.tar guix-372843576d0efd50d2d4d97dd536b7293e9dc180.tar.gz |
gnu: Add r-tilingarray.
* gnu/packages/bioconductor.scm (r-tilingarray): New variable.
-rw-r--r-- | gnu/packages/bioconductor.scm | 41 |
1 files changed, 41 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index b5a120c267..de20271329 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -14989,6 +14989,47 @@ be applied to the analysis of other NGS data obtained from experimental procedures that induce nucleotide substitutions (e.g. BisSeq).") (license license:gpl2))) +(define-public r-tilingarray + (package + (name "r-tilingarray") + (version "1.76.0") + (source (origin + (method url-fetch) + (uri (bioconductor-uri "tilingArray" version)) + (sha256 + (base32 + "19bkgblpkcp3w3sdyn82c37gkz1sv3r4d546zpbnh36q2pi3l4zd")))) + (properties `((upstream-name . "tilingArray"))) + (build-system r-build-system) + (propagated-inputs + (list r-affy + r-biobase + r-genefilter + r-pixmap + r-rcolorbrewer + r-strucchange + r-vsn)) + (home-page "https://bioconductor.org/packages/tilingArray") + (synopsis "Transcript mapping with high-density oligonucleotide tiling arrays") + (description + "The package provides functionality that can be useful for the analysis +of the high-density tiling microarray data (such as from Affymetrix genechips) +or for measuring the transcript abundance and the architecture. The main +functionalities of the package are: + +@enumerate +@item the class segmentation for representing partitionings of a linear series + of data; +@item the function segment for fitting piecewise constant models using a + dynamic programming algorithm that is both fast and exact; +@item the function @code{confint} for calculating confidence intervals using + the @code{strucchange} package; +@item the function @code{plotAlongChrom} for generating pretty plots; +@item the function @code{normalizeByReference} for probe-sequence dependent + response adjustment from a (set of) reference hybridizations. +@end enumerate") + (license license:artistic2.0))) + (define-public r-timeseriesexperiment (package (name "r-timeseriesexperiment") |