~ruther/guix-local

152d30c34690c00cc96053a9ae6196b26e93ba84 — Ricardo Wurmus 8 years ago 3082de0
gnu: Add python-loompy.

* gnu/packages/bioinformatics.scm (python-loompy): New variable.
1 files changed, 28 insertions(+), 0 deletions(-)

M gnu/packages/bioinformatics.scm
M gnu/packages/bioinformatics.scm => gnu/packages/bioinformatics.scm +28 -0
@@ 11857,3 11857,31 @@ use of lightweight alignments (accurate but fast-to-compute proxies for
traditional read alignments) and massively-parallel stochastic collapsed
variational inference.")
    (license license:gpl3+)))

(define-public python-loompy
  (package
    (name "python-loompy")
    (version "2.0.2")
    (source
     (origin
       (method url-fetch)
       (uri (pypi-uri "loompy" version))
       (sha256
        (base32
         "1drgv8j1hxqzzpnfg272x9djb6j8qr798w1pc2x8ikmfgyd9gh51"))))
    (build-system python-build-system)
    ;; There are no tests
    (arguments '(#:tests? #f))
    (propagated-inputs
     `(("python-h5py" ,python-h5py)
       ("python-numpy" ,python-numpy)
       ("python-scipy" ,python-scipy)
       ("python-typing" ,python-typing)))
    (home-page "https://github.com/linnarsson-lab/loompy")
    (synopsis "Work with .loom files for single-cell RNA-seq data")
    (description "The loom file format is an efficient format for very large
omics datasets, consisting of a main matrix, optional additional layers, a
variable number of row and column annotations.  Loom also supports sparse
graphs.  This library makes it easy to work with @file{.loom} files for
single-cell RNA-seq data.")
    (license license:bsd-3)))