RiceNet v2: An improved network prioritization server for rice genes

Tak Lee, Taeyun Oh, Sunmo Yang, Junha Shin, Sohyun Hwang, Chan Yeong Kim, Hyojin Kim, Hongseok Shim, Jung Eun Shim, Pamela C. Ronald, Insuk Lee

Research output: Contribution to journalArticlepeer-review

62 Citations (Scopus)


Rice is the most important staple food crop and a model grass for studies of bioenergy crops. We previously published a genome-scale functional network server called RiceNet, constructed by integrating diverse genomics data and demonstrated the use of the network in genetic dissection of rice biotic stress responses and its usefulness for other grass species. Since the initial construction of the network, there has been a significant increase in the amount of publicly available rice genomics data. Here, we present an updated network prioritization server for Oryza sativa ssp. japonica, RiceNet v2 (http://www.inetbio.org/ricenet), which provides a network of 25 765 genes (70.1% of the coding genome) and 1 775 000 co-functional links. Ricenet v2 also provides two complementary methods for network prioritization based on: (i) network direct neighborhood and (ii) context-associated hubs. RiceNet v2 can use genes of the related subspecies O. sativa ssp. indica and the reference plant Arabidopsis for versatility in generating hypotheses. We demonstrate that RiceNet v2 effectively identifies candidate genes involved in rice root/shoot development and defense responses, demonstrating its usefulness for the grass research community.

Original languageEnglish
Pages (from-to)W122-W127
JournalNucleic acids research
Issue numberW1
Publication statusPublished - 2015

Bibliographical note

Publisher Copyright:
© 2015 The Author(s).

All Science Journal Classification (ASJC) codes

  • Genetics


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