bioRxiv preprint doi: https://doi.org/10.1101/649079; this version posted May 24, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Identifying gene function and module connections by the integration of multi-species expression compendia Hao Li1, Daria Rukina2, Fabrice P. A. David3,4,5, Terytty Yang Li1, Chang- Myung Oh1, Arwen W. Gao1, Elena Katsyuba1, Maroun Bou Sleiman1, Andrea Komljenovic5,6, Qingyao Huang7, Robert W. Williams8, Marc Robinson- Rechavi5,6, Kristina Schoonjans7, Stephan Morgenthaler2, Johan Auwerx1, * 1Laboratory of Integrative Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne 1015, Switzerland 2Institute of Mathematics, École Polytechnique Fédérale de Lausanne, Lausanne 1015, Switzerland 3Gene Expression Core Facility, École Polytechnique Fédérale de Lausanne, Lausanne 1015, Switzerland 4SV-IT, École Polytechnique Fédérale de Lausanne, Lausanne 1015, Switzerland; 5Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland 6Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland 7Laboratory of Metabolic Signaling, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne 1015, Switzerland 8Department of Genetics, Genomics and Informatics, University of Tennessee, Memphis, TN 38163, USA *Correspondence:
[email protected] (J.A.) 1 bioRxiv preprint doi: https://doi.org/10.1101/649079; this version posted May 24, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license.