The webtools make use of the multilayered datasets from the BXD mouse population to expedite in silico gene function prediction through a series of integrative and complimentary systems analytical approaches.
How to cite

Please use the following citations when referring to our work:

Li H, Wang X, Rukina D, Huang Q, Lin T, Sorrentino V, Zhang H, Arends D, McDaid A, Luan P, Ziari N, Velázquez-Villegas LA, Gariani K, Kutalik Z, Schoonjans K, Radcliffe RA, Prins P, Morgenthaler S, Williams RW, Auwerx J, An integrated systems genetics and omics toolkit to probe gene function. Cell Systems (2018) 6, 90–102. DOI: http://dx.doi.org/10.1016/j.cels.2017.10.016.

The webtools and multi-layered systems approaches were developed, validated, and implemented by Hao Li, a PhD student under the supervision of Prof. Johan Auwerx at EPFL. We appreciate the help from Robert W. Williams lab at University of Tennessee, Stephan Morgenthaler lab at EPFL, Kristina Schoonjans lab at EPFL, Zoltan Kutalik lab at CHUV for the help in genetics, bioinformatics and biostatistics. We thank the lab members in Auwerx lab for the help in data collection, experimental validations and discussions. We are grateful to the BXD community for generating the valuable resource for systems biology research.
Funding sources
This work was supported by grants from the École Polytechnique Fédérale de Lausanne, the Swiss National Science Foundation (31003A-140780), the AgingX program of the Swiss Initiative for Systems Biology (51RTP0-151019), and the NIH (R01AG043930).
Contact us
If you have any questions or comments when using the web tools, please feel free to contact us through admin.auwerx@epfl.ch.