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연세대학교

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Nucleic Acids Res, Jan 2015, 43 (Database issue) | https://doi.org/10.1093/nar/gku1053 AraNet v2: an improved database of co-functional gene networks for the study of Arabidopsis thaliana and 27 other nonmodel plant species

Tak Lee¹, Sunmo Yang¹, Eiru Kim¹, Younhee Ko¹, Sohyun Hwang^1,2, Junha Shin¹, Jung Eun Shim¹, Hongseok Shim¹, Hyojin Kim¹, Chanyoung Kim¹ and Insuk Lee^1,*

¹Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea and

²Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, TX 78712, USA

^*To whom correspondence should be addressed. : Insuk Lee

Abstract

Arabidopsis thaliana is a reference plant that has been studied intensively for several decades. Recent advances in high-throughput experimental technology have enabled the generation of an unprecedented amount of data from A. thaliana, which has facilitated data-driven approaches to unravel the genetic organization of plant phenotypes. We previously published a description of a genome-scale functional gene network for A. thaliana, AraNet, which was constructed by integrating multiple co-functional gene networks inferred from diverse data types, and we demonstrated the predictive power of this network for complex phenotypes. More recently, we have observed significant growth in the availability of omics data for A. thaliana as well as improvements in data analysis methods that we anticipate will further enhance the integrated database of co-functional networks. Here, we present an updated co-functional gene network for A. thaliana, AraNet v2 (available at http://www.inetbio.org/aranet), which covers approximately 84% of the coding genome. We demonstrate significant improvements in both genome coverage and accuracy. To enhance the usability of the network, we implemented an AraNet v2 web server, which generates functional predictions for A. thaliana and 27 nonmodel plant species using an orthology-based projection of nonmodel plant genes on the A. thaliana gene network.

논문정보

형식Research article
게재일2015년 01월 (BRIC 등록일 2024-10-28)
연구진국내(교신)+국외 연구진
분야 생명과학 > 유전학
피인용횟수120회 이상 인용된 논문

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