r-acme: Create new package. (#5620)

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
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+++ b/var/spack/repos/builtin/packages/r-acme/package.py
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+##############################################################################
+# 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'))