Soybean Knowledge Base (SoyKB): a web resource for soybean translational genomics

被引:72
作者
Joshi, Trupti [1 ,2 ,3 ,4 ]
Patil, Kapil [1 ,2 ]
Fitzpatrick, Michael R. [1 ,2 ]
Franklin, Levi D. [1 ,2 ]
Yao, Qiuming [1 ,2 ]
Cook, Jeffrey R. [1 ,2 ]
Wang, Zheng [1 ]
Libault, Marc [2 ,3 ,5 ]
Brechenmacher, Laurent [2 ,3 ,5 ]
Valliyodan, Babu [3 ,5 ]
Wu, Xiaolei [3 ,5 ]
Cheng, Jianlin [1 ,2 ,3 ,4 ]
Stacey, Gary [2 ,3 ,5 ]
Nguyen, Henry T. [2 ,3 ,5 ]
Xu, Dong [1 ,2 ,3 ,4 ]
机构
[1] Univ Missouri, Dept Comp Sci, Columbia, MO 65211 USA
[2] Univ Missouri, Christopher S Bond Life Sci Ctr, Columbia, MO 65211 USA
[3] Univ Missouri, Natl Ctr Soybean Biotechnol, Columbia, MO 65211 USA
[4] Univ Missouri, Inst Informat, Columbia, MO 65211 USA
[5] Univ Missouri, Div Plant Sci, Columbia, MO 65211 USA
来源
BMC GENOMICS | 2012年 / 13卷
基金
美国国家科学基金会;
关键词
GENE-EXPRESSION; DATABASE; SEQUENCE; PREDICTION; RETRIEVAL; BROWSER; DISPLAY; TOOL;
D O I
10.1186/1471-2164-13-S1-S15
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: Soybean Knowledge Base (SoyKB) is a comprehensive all-inclusive web resource for soybean translational genomics. SoyKB is designed to handle the management and integration of soybean genomics, transcriptomics, proteomics and metabolomics data along with annotation of gene function and biological pathway. It contains information on four entities, namely genes, microRNAs, metabolites and single nucleotide polymorphisms 9SNPs). Methods: SoyKB has many useful tools such as Affymetrix probe ID search, gene family search, multiple gene/metabolite search supporting co-expression analysis, and protein 3D structure viewer as well as download and upload capacity for experimental data and annotations. It has four tiers of registration, which control different levels of access to public and private data. It allows users of certain levels to share their expertise by adding comments to the data. It has a user-friendly web interface together with genome browser and pathway viewer, which display data in an intuitive manner to the soybean researchers, producers and consumers. Conclusions: SoyKB addresses the increasing need of the soybean research community to have a one-stop-shop functional and translational omics web resource for information retrieval and analysis in a user-friendly way. SoyKB can be publicly accessed at http://soykb.org/.
引用
收藏
页数:15
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