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-rw-r--r--var/spack/repos/builtin/packages/r-snprelate/package.py54
1 files changed, 27 insertions, 27 deletions
diff --git a/var/spack/repos/builtin/packages/r-snprelate/package.py b/var/spack/repos/builtin/packages/r-snprelate/package.py
index 48aac0b886..13fbb24aa3 100644
--- a/var/spack/repos/builtin/packages/r-snprelate/package.py
+++ b/var/spack/repos/builtin/packages/r-snprelate/package.py
@@ -8,35 +8,35 @@ from spack.package import *
class RSnprelate(RPackage):
"""Parallel Computing Toolset for Relatedness and Principal Component
- Analysis of SNP Data.
+ Analysis of SNP Data.
- Genome-wide association studies (GWAS) are widely used to investigate
- the genetic basis of diseases and traits, but they pose many
- computational challenges. We developed an R package SNPRelate to provide
- a binary format for single-nucleotide polymorphism (SNP) data in GWAS
- utilizing CoreArray Genomic Data Structure (GDS) data files. The GDS
- format offers the efficient operations specifically designed for
- integers with two bits, since a SNP could occupy only two bits.
- SNPRelate is also designed to accelerate two key computations on SNP
- data using parallel computing for multi-core symmetric multiprocessing
- computer architectures: Principal Component Analysis (PCA) and
- relatedness analysis using Identity-By-Descent measures. The SNP GDS
- format is also used by the GWASTools package with the support of S4
- classes and generic functions. The extended GDS format is implemented in
- the SeqArray package to support the storage of single nucleotide
- variations (SNVs), insertion/deletion polymorphism (indel) and
- structural variation calls."""
+ Genome-wide association studies (GWAS) are widely used to investigate
+ the genetic basis of diseases and traits, but they pose many
+ computational challenges. We developed an R package SNPRelate to provide
+ a binary format for single-nucleotide polymorphism (SNP) data in GWAS
+ utilizing CoreArray Genomic Data Structure (GDS) data files. The GDS
+ format offers the efficient operations specifically designed for
+ integers with two bits, since a SNP could occupy only two bits.
+ SNPRelate is also designed to accelerate two key computations on SNP
+ data using parallel computing for multi-core symmetric multiprocessing
+ computer architectures: Principal Component Analysis (PCA) and
+ relatedness analysis using Identity-By-Descent measures. The SNP GDS
+ format is also used by the GWASTools package with the support of S4
+ classes and generic functions. The extended GDS format is implemented in
+ the SeqArray package to support the storage of single nucleotide
+ variations (SNVs), insertion/deletion polymorphism (indel) and
+ structural variation calls."""
bioc = "SNPRelate"
- version('1.30.1', commit='baef8a71d3908287a2307768348c02db0720d125')
- version('1.28.0', commit='8fcd837f4627a3bb77cb8d992b2baedd0589d123')
- version('1.24.0', commit='419b13b761ea39a8b1b9bc73097fb0359c59f1c2')
- version('1.18.1', commit='81c581bf76392efdc8ba237ca2e42ca1dba788ca')
- version('1.16.0', commit='0e38e8df4af87dff6c27a23af2867661998c0d85')
- version('1.14.0', commit='9501cbfc411aa320e58654a865fda2e9077977af')
- version('1.12.2', commit='dce2e2b6f36483a9f905bb5df6ae834a9f1136fe')
- version('1.10.2', commit='3f5c4010871df742e7a460586b38ad0c2fd37aeb')
+ version("1.30.1", commit="baef8a71d3908287a2307768348c02db0720d125")
+ version("1.28.0", commit="8fcd837f4627a3bb77cb8d992b2baedd0589d123")
+ version("1.24.0", commit="419b13b761ea39a8b1b9bc73097fb0359c59f1c2")
+ version("1.18.1", commit="81c581bf76392efdc8ba237ca2e42ca1dba788ca")
+ version("1.16.0", commit="0e38e8df4af87dff6c27a23af2867661998c0d85")
+ version("1.14.0", commit="9501cbfc411aa320e58654a865fda2e9077977af")
+ version("1.12.2", commit="dce2e2b6f36483a9f905bb5df6ae834a9f1136fe")
+ version("1.10.2", commit="3f5c4010871df742e7a460586b38ad0c2fd37aeb")
- depends_on('r@2.15:', type=('build', 'run'))
- depends_on('r-gdsfmt@1.8.3:', type=('build', 'run'))
+ depends_on("r@2.15:", type=("build", "run"))
+ depends_on("r-gdsfmt@1.8.3:", type=("build", "run"))