RT Journal Article
SR Electronic
T1 FlashPCA2: principal component analysis of biobank-scale genotype datasets
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 094714
DO 10.1101/094714
A1 Gad Abraham
A1 Yixuan Qiu
A1 Michael Inouye
YR 2016
UL http://biorxiv.org/content/early/2016/12/17/094714.abstract
AB Motivation Principal component analysis (PCA) is a crucial step in quality control of genomic data and a common approach for understanding population genetic structure. With the advent of large genotyping studies involving hundreds of thousands of individuals, standard approaches are no longer computationally feasible. We present FlashPCA2, a tool that can perform PCA on 1 million individuals faster than competing approaches, while requiring substantially less memory.Availability https://github.com/gabraham/ashpcaContact gad.abraham{at}unimelb.edu.au