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题名: CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp PCC 7002
作者: Yang, Yaohua1, 2; Feng, Jie1, 2; Li, Tao1; Ge, Feng1; Zhao, Jindong1, 3
通讯作者: Li, T (reprint author), Chinese Acad Sci, Inst Hydrobiol, Key Lab Algal Biol, Wuhan 430072, Peoples R China.
刊名: DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
发表日期: 2015-01-28
DOI: 10.1093/database/bau127
期: *, 页:bau127
收录类别: SCI
文章类型: Article
部门归属: [Yang, Yaohua ; Feng, Jie ; Li, Tao ; Ge, Feng ; Zhao, Jindong] Chinese Acad Sci, Inst Hydrobiol, Key Lab Algal Biol, Wuhan 430072, Peoples R China ; [Yang, Yaohua ; Feng, Jie] Univ Chinese Acad Sci, Beijing 100049, Peoples R China ; [Zhao, Jindong] Peking Univ, Coll Life Sci, Beijing 100871, Peoples R China
WOS标题词: Science & Technology ; Life Sciences & Biomedicine
类目[WOS]: Mathematical & Computational Biology
研究领域[WOS]: Mathematical & Computational Biology
英文摘要: Cyanobacteria are an important group of organisms that carry out oxygenic photosynthesis and play vital roles in both the carbon and nitrogen cycles of the Earth. The annotated genome of Synechococcus sp. PCC 7002, as an ideal model cyanobacterium, is available. A series of transcriptomic and proteomic studies of Synechococcus sp. PCC 7002 cells grown under different conditions have been reported. However, no database of such integrated omics studies has been constructed. Here we present CyanOmics, a database based on the results of Synechococcus sp. PCC 7002 omics studies. CyanOmics comprises one genomic dataset, 29 transcriptomic datasets and one proteomic dataset and should prove useful for systematic and comprehensive analysis of all those data. Powerful browsing and searching tools are integrated to help users directly access information of interest with enhanced visualization of the analytical results. Furthermore, Blast is included for sequence-based similarity searching and Cluster 3.0, as well as the R hclust function is provided for cluster analyses, to increase CyanOmics's usefulness. To the best of our knowledge, it is the first integrated omics analysis database for cyanobacteria. This database should further understanding of the transcriptional patterns, and proteomic profiling of Synechococcus sp. PCC 7002 and other cyanobacteria. Additionally, the entire database framework is applicable to any sequenced prokaryotic genome and could be applied to other integrated omics analysis projects.
关键词[WOS]: OXIDATIVE STRESS ; SP PCC-7002 ; HIGH-LIGHT ; GENOME ; GENERATION ; SEQUENCE ; GROWTH ; MUTANT ; ROLES
语种: 英语
WOS记录号: WOS:000348650000003
ISSN号: 1758-0463
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ihb.ac.cn/handle/342005/23998
Appears in Collections:水生生物分子与细胞生物学研究中心_期刊论文

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作者单位: 1.Chinese Acad Sci, Inst Hydrobiol, Key Lab Algal Biol, Wuhan 430072, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Peking Univ, Coll Life Sci, Beijing 100871, Peoples R China
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