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| author | Mădălin Ionel Patrașcu <madalinionel.patrascu@mdc-berlin.de> | 2023-01-17 13:25:38 +0100 |
|---|---|---|
| committer | Ricardo Wurmus <rekado@elephly.net> | 2023-01-22 08:56:51 +0100 |
| commit | 3d9516344e190e670257bf49a937a4c33f1d989a (patch) | |
| tree | 62ae37a7f923692690f595964c456728cdf68151 /gnu/packages | |
| parent | b374a45eb0468189140c19b5cebcf8282eb6c20a (diff) | |
| download | guix-3d9516344e190e670257bf49a937a4c33f1d989a.tar guix-3d9516344e190e670257bf49a937a4c33f1d989a.tar.gz | |
gnu: Add r-alpsnmr.
* gnu/packages/bioconductor.scm (r-alpsnmr): New variable.
Diffstat (limited to 'gnu/packages')
| -rw-r--r-- | gnu/packages/bioconductor.scm | 53 |
1 files changed, 53 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index 343a500fc3..7b6515a639 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -2619,6 +2619,59 @@ mapped reads). It is currently designed for un-stranded paired-end RNA-seq data.") (license license:gpl2+))) +(define-public r-alpsnmr + (package + (name "r-alpsnmr") + (version "4.0.2") + (source (origin + (method url-fetch) + (uri (bioconductor-uri "AlpsNMR" version)) + (sha256 + (base32 + "1y4qqc6l8flv5ns4qwzjwmcykm6zcm4jg097mn8xyp7mnxymy7pl")))) + (properties `((upstream-name . "AlpsNMR"))) + (build-system r-build-system) + (propagated-inputs + (list r-baseline + r-biocparallel + r-dplyr + r-fs + r-future + r-generics + r-ggplot2 + r-glue + r-htmltools + r-magrittr + r-matrixstats + r-mixomics + r-pcapp + r-purrr + r-readxl + r-reshape2 + r-rlang + r-rmarkdown + r-scales + r-signal + r-speaq + r-stringr + r-tibble + r-tidyr + r-tidyselect + r-vctrs)) + (native-inputs (list r-knitr)) + (home-page "https://sipss.github.io/AlpsNMR/") + (synopsis "Automated spectral processing system for NMR") + (description + "This package reads Bruker @acronym{NMR, Nuclear Magnetic Resonance} data +directories both zipped and unzipped. It provides automated and efficient +signal processing for untargeted NMR metabolomics. It is able to interpolate +the samples, detect outliers, exclude regions, normalize, detect peaks, align +the spectra, integrate peaks, manage metadata and visualize the spectra. +After spectra processing, it can apply multivariate analysis on extracted +data. Efficient plotting with 1-D data is also available. Basic reading of +1D ACD/Labs exported JDX samples is also available.") + (license license:expat))) + (define-public r-altcdfenvs (package (name "r-altcdfenvs") |