@article{dragan_dsswissknife_2020,
	title = {{dsSwissKnife}: {An} {R} package for federated data analysis},
	copyright = {© 2020, Posted by Cold Spring Harbor Laboratory. This pre-print is available under a Creative Commons License (Attribution 4.0 International), CC BY 4.0, as described at http://creativecommons.org/licenses/by/4.0/},
	shorttitle = {{dsSwissKnife}},
	url = {https://www.biorxiv.org/content/10.1101/2020.11.17.386813v1},
	doi = {10.1101/2020.11.17.386813},
	abstract = {{\textless}p{\textgreater}Summary: dsSwissKnife is an R package that enables several powerful analyses to be performed on federated datasets. The package works alongside DataSHIELD and extends its functionality. We have developed and implemented dsSwissKnife in a large IMI project on type 2 diabetes, RHAPSODY, where data from 10 observational cohorts have been harmonised and federated in CDISC SDTM format and made available for biomarker discovery. Availability and implementation: dsSwissKnife is freely available online at https://github.com/sib-swiss/dsSwissKnife. The package is distributed under the GNU General Public License version 3 and is accompanied by example files and data.{\textless}/p{\textgreater}},
	language = {en},
	urldate = {2020-11-20},
	journal = {bioRxiv},
	author = {Dragan, Iulian and Sparso, Thomas and Kuznetsov, Dmitry and Slieker, Roderick and Ibberson, Mark},
	month = nov,
	year = {2020},
	note = {Publisher: Cold Spring Harbor Laboratory
Section: New Results},
	keywords = {WP2},
	pages = {2020.11.17.386813},
}