ArticleInternational journal of biological sciences2018
RicyerDB: A Database For Collecting Rice Yield-related Genes with Biological Analysis.
Article in International journal of biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Yield-associated putative gene regulatory networks in Oryza sativa L. subsp. indica and their association with high-yielding genotypes.Molecular biology reports · 2022Article
- Physiological and Multi-Omics Approaches for Explaining Drought Stress Tolerance and Supporting Sustainable Production of Rice.Frontiers in plant science · 2021Review
- Nitrogen Use Efficiency Phenotype and Associated Genes: Roles of Germination, Flowering, Root/Shoot Length and Biomass.Frontiers in plant science · 2020Article
- Identification of S-nitrosylation sites based on multiple features combination.Scientific reports · 2019Article
- Integrating Multiple Interaction Networks for Gene Function Inference.Molecules (Basel, Switzerland) · 2018Article
- Prediction Methods of Herbal Compounds in Chinese Medicinal Herbs.Molecules (Basel, Switzerland) · 2018Review
- Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree.International journal of molecular sciences · 2018Article
- Functional Prediction of Chronic Kidney Disease Susceptibility Gene PRKAG2 by Comprehensively Bioinformatics Analysis.Frontiers in genetics · 2018Article
- Identification and Analysis of Rice Yield-Related Candidate Genes by Walking on the Functional Network.Frontiers in plant science · 2018Article
- Special issue on Computational Resources and Methods in Biological Sciences.International journal of biological sciences · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
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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Registered trials
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