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SoyNet: a database of co-functional networks for soybeanGlycine max

Authors :
Eiru Kim
Insuk Lee
Sohyun Hwang
Source :
NUCLEIC ACIDS RESEARCH(45): D1, Nucleic Acids Research
Publication Year :
2016
Publisher :
Oxford University Press (OUP), 2016.

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.

Details

ISSN :
13624962 and 03051048
Volume :
45
Database :
OpenAIRE
Journal :
Nucleic Acids Research
Accession number :
edsair.doi.dedup.....50bd87a5b11513dd06e4ecc431fe8b9b
Full Text :
https://doi.org/10.1093/nar/gkw704