SoyNet

is a functional gene network and coexpression network database for a legume crop, soybean (Glycine max). Soybean is a major sources of oil and protein for human and livestock, and accounts for more than 50% of globally consumed edible oil. To facilitate genetic dissection of economically important traits of soybean via network biology approaches, we developed a network wiring 40,812 soybean genes (~73% of the coding genome) with ~2 million functional links, which were inferred by Bayesian statistics framework. Details about network construction methods previously developed are described in Nature Biotechnology 2010.

SoyNet web database can generate functional hypotheses for soybean genes using three network algorithms: 'Find new members of a pathway', 'Find context associated genes', and 'Find functional modules'.


Users may obtain more information for soybean research from SoyBase.

How to cite SoyNet
Contact information
Insuk Lee (insuklee (at) yonsei.ac.kr)
Updates
2016.08.04 SoyNet has been published online.
2015.09.05 SoyNet website launched.
Funding
This work was supported by the National Research Foundation of Korea grant (2012M3A9B4028641, 2012M3A9C7050151, 2015R1A2A1A15055859)