@article{dragan_dsswissknife_2020, title = {{dsSwissKnife}: An R package for federated data analysis}, rights = {© 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/}, url = {https://www.biorxiv.org/content/10.1101/2020.11.17.386813v1}, doi = {10.1101/2020.11.17.386813}, shorttitle = {{dsSwissKnife}}, 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}}, pages = {2020.11.17.386813}, journaltitle = {{bioRxiv}}, author = {Dragan, Iulian and Sparso, Thomas and Kuznetsov, Dmitry and Slieker, Roderick and Ibberson, Mark}, urldate = {2020-11-20}, date = {2020-11-20}, langid = {english}, note = {Publisher: Cold Spring Harbor Laboratory Section: New Results}, keywords = {{WP}2}, }