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| author | Ricardo Wurmus <ricardo.wurmus@mdc-berlin.de> | 2015-06-12 15:47:18 +0200 |
|---|---|---|
| committer | Ricardo Wurmus <ricardo.wurmus@mdc-berlin.de> | 2015-06-26 15:29:01 +0200 |
| commit | 3a1bfe186df738600068615baa3df59211248b6b (patch) | |
| tree | deb1525fac58a10dce83c43146e40cee870cf4fe /gnu/packages | |
| parent | 0dde623211096642013bf05879982214dfb08b25 (diff) | |
| download | patches-3a1bfe186df738600068615baa3df59211248b6b.tar patches-3a1bfe186df738600068615baa3df59211248b6b.tar.gz | |
gnu: Add python2-fastlmm.
* gnu/packages/python.scm (python2-fastlmm): New variable.
Diffstat (limited to 'gnu/packages')
| -rw-r--r-- | gnu/packages/python.scm | 36 |
1 files changed, 36 insertions, 0 deletions
diff --git a/gnu/packages/python.scm b/gnu/packages/python.scm index 7ddfcc6ffe..1b3934b351 100644 --- a/gnu/packages/python.scm +++ b/gnu/packages/python.scm @@ -2326,6 +2326,42 @@ capabilities.") (define python2-numpy-bootstrap (package-with-python2 python-numpy-bootstrap)) +(define-public python2-fastlmm + (package + (name "python2-fastlmm") + (version "0.2.14") + (source + (origin + (method url-fetch) + (uri (string-append + "https://pypi.python.org/packages/source/f/fastlmm" + "/fastlmm-" version ".zip")) + (sha256 + (base32 + "023sydkrc3yxad2bycar02jfswwlh4199kafzhf2bssyx2c3xa0l")))) + (build-system python-build-system) + (arguments + `(#:python ,python-2)) ; only Python 2.7 is supported + (propagated-inputs + `(("python2-numpy" ,python2-numpy) + ("python2-scipy" ,python2-scipy) + ("python2-matplotlib" ,python2-matplotlib) + ("python2-pandas" ,python2-pandas) + ("python2-scikit-learn" ,python2-scikit-learn) + ("python2-cython" ,python2-cython) + ("python2-pysnptools" ,python2-pysnptools))) + (native-inputs + `(("unzip" ,unzip) + ("python2-mock" ,python2-mock) + ("python2-setuptools" ,python2-setuptools))) + (home-page "http://research.microsoft.com/en-us/um/redmond/projects/mscompbio/fastlmm/") + (synopsis "Perform genome-wide association studies on large data sets") + (description + "FaST-LMM, which stands for Factored Spectrally Transformed Linear Mixed +Models, is a program for performing both single-SNP and SNP-set genome-wide +association studies (GWAS) on extremely large data sets.") + (license asl2.0))) + (define-public python-numpy (package (inherit python-numpy-bootstrap) (name "python-numpy") |