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.
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).