ArticleDatabase : the journal of biological databases and curation2014
SoyFN: a knowledge database of soybean functional networks.
Article in Database : the journal of biological databases and curation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- GGDB: A Grameneae genome alignment database of homologous genes hierarchically related to evolutionary events.Plant physiology · 2022Article
- Genetic and Genomic Resources for Soybean Breeding Research.Plants (Basel, Switzerland) · 2022Review
- A Multi-Level Iterative Bi-Clustering Method for Discovering miRNA Co-regulation Network of Abiotic Stress Tolerance in Soybeans.Frontiers in plant science · 2022Article
- Down-regulation of genes coding for core RNAi components and disease resistance proteins via corresponding microRNAs might be correlated with successful Soybean mosaic virus infection in soybean.Molecular plant pathology · 2018Article
- A comprehensive review of web-based resources of non-coding RNAs for plant science research.International journal of biological sciences · 2018Review
- Identify bilayer modules via pseudo-3D clustering: applications to miRNA-gene bilayer networks.Nucleic acids research · 2016Article
- Expanding Omics Resources for Improvement of Soybean Seed Composition Traits.Frontiers in plant science · 2015Review
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Authors and funding
5 authors.
Funding
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Abstract
Many databases for soybean genomic analysis have been built and made publicly available, but few of them contain knowledge specifically targeting the omics-level gene-gene, gene-microRNA (miRNA) and miRNA-miRNA interactions. Here, we present SoyFN, a knowledge database of soybean functional gene networks and miRNA functional networks. SoyFN provides user-friendly interfaces to retrieve, visualize, analyze and download the functional networks of soybean genes and miRNAs. In addition, it incorporates much information about KEGG pathways, gene ontology annotations and 3'-UTR sequences as well as many useful tools including SoySearch, ID mapping, Genome Browser, eFP Browser and promoter motif scan. SoyFN is a schema-free database that can be accessed as a Web service from any modern programming language using a simple Hypertext Transfer Protocol call. The Web site is implemented in Java, JavaScript, PHP, HTML and Apache, with all major browsers supported. We anticipate that this database will be useful for members of research communities both in soybean experimental science and bioinformatics. Database URL: http://nclab.hit.edu.cn/SoyFN.
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