Journal article

SparSNP: Fast and memory-efficient analysis of all SNPs for phenotype prediction

Gad Abraham, Adam Kowalczyk, Justin Zobel, Michael Inouye

BMC Bioinformatics | BMC | Published : 2012


Awarded by Victorian Life Sciences Computing Initiative (VLSCI)

Awarded by NHMRC Postdoctoral Fellowship

Funding Acknowledgements

Thanks to David van Heel (QMUL) for supplying the celiac disease data, and to the Victorian Life Sciences Computing Initiative (VLSCI) for providing computing facilities under project VR0126. Funding: MI was supported by an NHMRC Postdoctoral Fellowship (no. 637400). This work was supported by the Australian Research Council, and by the NICTA Victorian Research Laboratory. NICTA is funded by the Australian Government as represented by the Department of Broadband, Communications, and the Digital Economy, and the Australian Research Council through the ICT Centre of Excellence program. This work was made possible through Victorian State Government Operational Infrastructure Support and Australian Government NHMRC IRIIS.