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RicyerDB: A Database For Collecting Rice Yield-related Genes with Biological Analysis

The Rice Yield-related Database (RicyerDB) was created to complement with related research of influence rice (Oryza sativa L.) yield in multiple traits by manually curating the related databases and literature, and genomics and proteomics information that could be useful for comprehensive understand...

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Detalles Bibliográficos
Autores principales: Jiang, Jing, Xing, Fei, Zeng, Xiangxiang, Zou, Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036756/
https://www.ncbi.nlm.nih.gov/pubmed/29989091
http://dx.doi.org/10.7150/ijbs.23328
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author Jiang, Jing
Xing, Fei
Zeng, Xiangxiang
Zou, Quan
author_facet Jiang, Jing
Xing, Fei
Zeng, Xiangxiang
Zou, Quan
author_sort Jiang, Jing
collection PubMed
description The Rice Yield-related Database (RicyerDB) was created to complement with related research of influence rice (Oryza sativa L.) yield in multiple traits by manually curating the related databases and literature, and genomics and proteomics information that could be useful for comprehensive understanding of the rice biology. RicyerDB provides a more valuable resource in which to efficiently investigate, browse and analyze yield-related genes. The whole data set can be easily queried and downloaded through the webpage. In addition, RicyerDB also constructed a protein-protein interaction network with biological analysis. The combined rice database opens a new path to facilitate researchers achieving information on rice gene in terms of their effects on traits important for rice breeding. The web server is freely available at: http://server.malab.cn/Ricyer/index.html.
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spelling pubmed-60367562018-07-09 RicyerDB: A Database For Collecting Rice Yield-related Genes with Biological Analysis Jiang, Jing Xing, Fei Zeng, Xiangxiang Zou, Quan Int J Biol Sci Research Paper The Rice Yield-related Database (RicyerDB) was created to complement with related research of influence rice (Oryza sativa L.) yield in multiple traits by manually curating the related databases and literature, and genomics and proteomics information that could be useful for comprehensive understanding of the rice biology. RicyerDB provides a more valuable resource in which to efficiently investigate, browse and analyze yield-related genes. The whole data set can be easily queried and downloaded through the webpage. In addition, RicyerDB also constructed a protein-protein interaction network with biological analysis. The combined rice database opens a new path to facilitate researchers achieving information on rice gene in terms of their effects on traits important for rice breeding. The web server is freely available at: http://server.malab.cn/Ricyer/index.html. Ivyspring International Publisher 2018-05-22 /pmc/articles/PMC6036756/ /pubmed/29989091 http://dx.doi.org/10.7150/ijbs.23328 Text en © Ivyspring International Publisher This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Jiang, Jing
Xing, Fei
Zeng, Xiangxiang
Zou, Quan
RicyerDB: A Database For Collecting Rice Yield-related Genes with Biological Analysis
title RicyerDB: A Database For Collecting Rice Yield-related Genes with Biological Analysis
title_full RicyerDB: A Database For Collecting Rice Yield-related Genes with Biological Analysis
title_fullStr RicyerDB: A Database For Collecting Rice Yield-related Genes with Biological Analysis
title_full_unstemmed RicyerDB: A Database For Collecting Rice Yield-related Genes with Biological Analysis
title_short RicyerDB: A Database For Collecting Rice Yield-related Genes with Biological Analysis
title_sort ricyerdb: a database for collecting rice yield-related genes with biological analysis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036756/
https://www.ncbi.nlm.nih.gov/pubmed/29989091
http://dx.doi.org/10.7150/ijbs.23328
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