RT Journal Article SR Electronic T1 FlashPCA: fast sparse canonical correlation analysis of genomic data JF bioRxiv FD Cold Spring Harbor Laboratory SP 047217 DO 10.1101/047217 A1 Gad Abraham A1 Michael Inouye YR 2016 UL http://biorxiv.org/content/early/2016/04/06/047217.abstract AB Summary Sparse canonical correlation analysis (SCCA) is a useful approach for correlating one set of measurements, such as single nucleotide polymorphisms (SNPs), with another set of measurements, such as gene expression levels. We present a fast implementation of SCCA, enabling rapid analysis of hundreds of thousands of SNPs together with thousands of phenotypes. Our approach is implemented both as an R package flashpcaR and within the standalone commandline tool flashpca.Availability and implementation https://github.com/gabraham/flashpcaContact gad.abraham{at}unimelb.edu.au