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

BMC Genomics

Proceedings

Henry T Nguyen¹  Laurent Brechenmacher¹  Gary Stacey¹  Marc Libault¹  Zheng Wang²  Jeffrey R Cook³  Qiuming Yao³  Kapil Patil³  Levi D Franklin³  Michael R Fitzpatrick³  Jianlin Cheng⁴  Trupti Joshi⁴  Dong Xu⁴  Babu Valliyodan⁵  Xiaolei Wu⁵ 

[1] Christopher S. Bond Life Sciences Center, University of Missouri, 65211, Columbia, MO, USA;National Center for Soybean Biotechnology, University of Missouri, 65211, Columbia, MO, USA;Division of Plant Sciences, University of Missouri, 65211, Columbia, MO, USA;Department of Computer Science, University of Missouri, 65211, Columbia, MO, USA;Department of Computer Science, University of Missouri, 65211, Columbia, MO, USA;Christopher S. Bond Life Sciences Center, University of Missouri, 65211, Columbia, MO, USA;Department of Computer Science, University of Missouri, 65211, Columbia, MO, USA;Christopher S. Bond Life Sciences Center, University of Missouri, 65211, Columbia, MO, USA;National Center for Soybean Biotechnology, University of Missouri, 65211, Columbia, MO, USA;Informatics Institute, University of Missouri, 65211, Columbia, MO, USA;National Center for Soybean Biotechnology, University of Missouri, 65211, Columbia, MO, USA;Division of Plant Sciences, University of Missouri, 65211, Columbia, MO, USA;

关键词: Naringin;    Metabolomics Data;    Soybean Genome;    Proteomics Dataset;    Liquiritigenin;   

DOI  :  10.1186/1471-2164-13-S1-S15

来源: Springer

【 摘 要 】

BackgroundSoybean 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 (SNPs).MethodsSoyKB 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.ConclusionsSoyKB 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/.

【 授权许可】

Unknown   
© Joshi et al.; licensee BioMed Central Ltd. 2012. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.