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| -rw-r--r-- | var/spack/repos/builtin/packages/r-acme/package.py | 45 |
1 files changed, 45 insertions, 0 deletions
diff --git a/var/spack/repos/builtin/packages/r-acme/package.py b/var/spack/repos/builtin/packages/r-acme/package.py new file mode 100644 index 0000000000..5e8ae24e85 --- /dev/null +++ b/var/spack/repos/builtin/packages/r-acme/package.py @@ -0,0 +1,45 @@ +############################################################################## +# Copyright (c) 2013-2017, Lawrence Livermore National Security, LLC. +# Produced at the Lawrence Livermore National Laboratory. +# +# This file is part of Spack. +# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved. +# LLNL-CODE-647188 +# +# For details, see https://github.com/llnl/spack +# Please also see the NOTICE and LICENSE files for our notice and the LGPL. +# +# This program is free software; you can redistribute it and/or modify +# it under the terms of the GNU Lesser General Public License (as +# published by the Free Software Foundation) version 2.1, February 1999. +# +# This program is distributed in the hope that it will be useful, but +# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and +# conditions of the GNU Lesser General Public License for more details. +# +# You should have received a copy of the GNU Lesser General Public +# License along with this program; if not, write to the Free Software +# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA +############################################################################## +from spack import * + + +class RAcme(RPackage): + """ACME (Algorithms for Calculating Microarray Enrichment) is a set + of tools for analysing tiling array ChIP/chip, DNAse hypersensitivity, + or other experiments that result in regions of the genome showing + "enrichment". It does not rely on a specific array technology + (although the array should be a "tiling" array), is very general + (can be applied in experiments resulting in regions of enrichment), + and is very insensitive to array noise or normalization methods. + It is also very fast and can be applied on whole-genome tiling array + experiments quite easily with enough memory.""" + + homepage = "https://www.bioconductor.org/packages/ACME/" + url = "https://www.bioconductor.org/packages/release/bioc/src/contrib/ACME_2.32.0.tar.gz" + + version('2.32.0', 'f99ea6b94399fd7a10f55ac7e7ec04fa') + + depends_on('r-biobase', type=('build', 'run')) + depends_on('r-biocgenerics', type=('build', 'run')) |