is a network-based gene prioritization server for tomato (Solanum lycopersicum). Tomato is an important sources of human diet and a model crop for understanding flesh fruit. To facilitate genetic dissection of complex traits of tomato, such as fruit development and ripening, via network biology approaches, we developed a network wiring 22,549 tomato genes (~65% of the coding genome) with 721,626 functional links, which were inferred by Bayesian statistics framework. Details about network construction methods previously developed are described in Nature Biotechnology 2010. TomatoNet web server can generate functional hypotheses for soybean genes using two network algorithms: ‘Pathway-centric prediction’ and ‘Context-centric prediction’

TomatoNet: A genome-wide co-functional network for unveiling complex traits of tomato, a model crop for fleshy fruits. Mol Plant. 2016 Nov 29. pii: S1674-2052(16)30294-5. (doi: 10.1016/j.molp.2016.11.010) (PubMed)

Insuk Lee (insuklee (at) yonsei.ac.kr)

2015.12.05 TomatoNet website launched.

This work was supported by the National Research Foundation of Korea grant (2015R1A2A1A15055859, 2012M3A9B4028641, 2012M3A9C7050151)