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Database Commons - SoyNet

SoyNet

Citations: 0

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Short name SoyNet
Full name
Description a functional gene network and coexpression network database for a legume crop, soybean
URL http://www.inetbio.org/soynet
Year founded 2015
Last update & version 2016-08-04    
Availability Free to all users
University/Institution hosted Yonsei University
Address Department of Biotechnology, College of Life Science and Biotechnology
City Seoul
Province/State
Country/Region Korea Rep.
Contact name Insuk Lee
Contact email insuklee@yonsei.ac.kr
Data type(s)
Major organism(s)
Keyword(s)
  • coexpression network
  • gene network
Publication(s)
  • SoyNet: a database of co-functional networks for soybean Glycine max. [PMID: 27492285]

    Eiru Kim, Sohyun Hwang, Insuk Lee
    Nucleic acids research 2017:45(D1)
    0 Citations (Google Scholar as of 2017-02-20)

    Abstract: Soybean (Glycine max) is a legume crop with substantial economic value, providing a source of oil and protein for humans and livestock. More than 50% of edible oils consumed globally are derived from this crop. Soybean plants are also important for soil fertility, as they fix atmospheric nitrogen by symbiosis with microorganisms. The latest soybean genome annotation (version 2.0) lists 56 044 coding genes, yet their functional contributions to crop traits remain mostly unknown. Co-functional networks have proven useful for identifying genes that are involved in a particular pathway or phenotype with various network algorithms. Here, we present SoyNet (available at www.inetbio.org/soynet), a database of co-functional networks for G. max and a companion web server for network-based functional predictions. SoyNet maps 1 940 284 co-functional links between 40 812 soybean genes (72.8% of the coding genome), which were inferred from 21 distinct types of genomics data including 734 microarrays and 290 RNA-seq samples from soybean. SoyNet provides a new route to functional investigation of the soybean genome, elucidating genes and pathways of agricultural importance. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Tags

Expression Interaction and Network
Glycine max
coexpression network gene network

Record metadata

  • Created on: 2017-02-20
  • Curated by:
    • Lina Ma [2017-06-14]
    • Shixiang Sun [2017-02-20]
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