CoreArray Library Framework (v1.0)

CoreArray project is to develop portable and scalable storage technologies for bioinformatics data, allowing parallel computing at the multicore and cluster levels.

 

C++ library

Download          http://sourceforge.net/projects/corearray/

 

R packages

gdsfmt          an R interface for the CoreArray library
http://github.com/zhengxwen/gdsfmt
unit testing for gdsfmt
SNPRelate a high-performance computing R package for relatedness and principal component analysis of SNP data
http://github.com/zhengxwen/SNPRelate
unit testing for SNPRelate
SeqArray an R/Bioconductor package for big data management of genome-wide sequencing variants
http://github.com/zhengxwen/SeqArray

 

Install R packages

Website http://r-forge.r-project.org/R/?group_id=1909
gdsfmt          http://github.com/zhengxwen/gdsfmt
SNPRelate http://github.com/zhengxwen/SNPRelate
SeqArray source("http://bioconductor.org/biocLite.R"); biocLite("SeqArray")

 

Tutorials

SNPRelate           online         pdf         Validation using PLINK v1.07 and EIGENSTRAT v3.0 (Validate.SNPRelate.r, Validate.SNPRelate.r.Rout)
SeqArray           online

 

Forums

http://github.com/zhengxwen

 

Author

Xiuwen Zheng          zhengx@u.washington.edu

 

Others

GENEVA          https://www.genevastudy.org/Accomplishments/software

 

Copyright

CoreArray is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License Version 3 as published by the Free Software Foundation. CoreArray 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 GNU Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with CoreArray. If not, see http://www.gnu.org/licenses/.

 

Publication

Zheng X, Levine D, Shen J, Gogarten SM, Laurie C, Weir BS. A High-performance Computing Toolset for Relatedness and Principal Component Analysis of SNP Data. Bioinformatics. 2012 Dec 15; 28(24):3326-8. doi: 10.1093/bioinformatics/bts606.