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author | Ricardo Wurmus <rekado@elephly.net> | 2021-12-03 14:49:47 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2021-12-03 14:55:38 +0100 |
commit | d0aa14a43dec5dbfcf950d77e07725de46fa6139 (patch) | |
tree | ee8a3923a988fafedb782ebd8a00a8109697c841 /gnu | |
parent | 3354e41c1e83a38a15df4513373ca6aa2886af1a (diff) | |
download | guix-d0aa14a43dec5dbfcf950d77e07725de46fa6139.tar.gz guix-d0aa14a43dec5dbfcf950d77e07725de46fa6139.zip |
gnu: Add vbz-compression.
* gnu/packages/bioinformatics.scm (vbz-compression): New variable.
Diffstat (limited to 'gnu')
-rw-r--r-- | gnu/packages/bioinformatics.scm | 37 |
1 files changed, 37 insertions, 0 deletions
diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm index 2f31d5e9c1..d180db012e 100644 --- a/gnu/packages/bioinformatics.scm +++ b/gnu/packages/bioinformatics.scm @@ -13856,6 +13856,43 @@ vast-tools, an RNA-Seq pipeline for alternative splicing analysis. The plots are generated using @code{ggplot2}.") (license license:expat))) +(define-public vbz-compression + (package + (name "vbz-compression") + (version "1.0.1") + (source + (origin + (method git-fetch) + (uri (git-reference + (url "https://github.com/nanoporetech/vbz_compression/") + (commit (string-append "v" version)) + ;; We include the streamvbyte sources + (recursive? #true))) + (file-name (git-file-name name version)) + (sha256 + (base32 + "1c6wsrnw03vsc5cfp2rdakly5xy55m9chjmy6v685yapdwirdky0")))) + (build-system cmake-build-system) + (arguments + `(#:configure-flags + '("-DENABLE_CONAN=OFF" + ;; Python things aren't even installed, so we might as well + ;; disable building them. + "-DENABLE_PYTHON=OFF"))) + (inputs + `(;("hdf5" ,hdf5-1.10) + ("zstd" ,zstd "lib"))) + (native-inputs + `(("googlebenchmark" ,googlebenchmark))) + (home-page "https://github.com/nanoporetech/vbz_compression/") + (synopsis "VBZ compression plugin for nanopore signal data") + (description + "VBZ Compression uses variable byte integer encoding to compress +nanopore signal data. The performance of VBZ is achieved by taking +advantage of the properties of the raw signal and therefore is most +effective when applied to the signal dataset.") + (license license:mpl2.0))) + (define-public python-ont-fast5-api (package (name "python-ont-fast5-api") |