SoyNet: A database of co-functional networks for soybean Glycine max

Eiru Kim, Sohyun Hwang, Insuk Lee

Research output: Contribution to journalArticle

19 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)D1082-D1089
JournalNucleic acids research
Volume45
Issue numberD1
DOIs
Publication statusPublished - 2017 Jan 1

All Science Journal Classification (ASJC) codes

  • Genetics

Fingerprint Dive into the research topics of 'SoyNet: A database of co-functional networks for soybean Glycine max'. Together they form a unique fingerprint.

  • Cite this