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SoyNet: a database of co-functional networks for soybean Glycine max
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210602/ https://www.ncbi.nlm.nih.gov/pubmed/27492285 http://dx.doi.org/10.1093/nar/gkw704 |
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author | Kim, Eiru Hwang, Sohyun Lee, Insuk |
author_facet | Kim, Eiru Hwang, Sohyun Lee, Insuk |
author_sort | Kim, Eiru |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5210602 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-52106022017-01-05 SoyNet: a database of co-functional networks for soybean Glycine max Kim, Eiru Hwang, Sohyun Lee, Insuk Nucleic Acids Res Database Issue 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. Oxford University Press 2017-01-04 2016-08-04 /pmc/articles/PMC5210602/ /pubmed/27492285 http://dx.doi.org/10.1093/nar/gkw704 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Kim, Eiru Hwang, Sohyun Lee, Insuk SoyNet: a database of co-functional networks for soybean Glycine max |
title | SoyNet: a database of co-functional networks for soybean Glycine max |
title_full | SoyNet: a database of co-functional networks for soybean Glycine max |
title_fullStr | SoyNet: a database of co-functional networks for soybean Glycine max |
title_full_unstemmed | SoyNet: a database of co-functional networks for soybean Glycine max |
title_short | SoyNet: a database of co-functional networks for soybean Glycine max |
title_sort | soynet: a database of co-functional networks for soybean glycine max |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210602/ https://www.ncbi.nlm.nih.gov/pubmed/27492285 http://dx.doi.org/10.1093/nar/gkw704 |
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