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Yang Y, Feng J, Li T, et al. CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002. Database (Oxford). 2015;2015doi: 10.1093/database/bau127.
Yang, Y., Feng, J., Li, T., Ge, F., & Zhao, J. (2015). CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002. Database : the journal of biological databases and curation, 2015. https://doi.org/10.1093/database/bau127
Yang, Yaohua, et al. "CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002." Database : the journal of biological databases and curation vol. 2015 (2015). doi: https://doi.org/10.1093/database/bau127
Yang Y, Feng J, Li T, Ge F, Zhao J. CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002. Database (Oxford). 2015 Jan 28;2015. doi: 10.1093/database/bau127. Print 2015. PMID: 25632108; PMCID: PMC4309022.
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Database (Oxford). 2015 Jan 28;2015. doi: 10.1093/database/bau127. Print 2015.

CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002.

Database : the journal of biological databases and curation

Yaohua Yang, Jie Feng, Tao Li, Feng Ge, Jindong Zhao

Affiliations

  1. Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China, University of Chinese Academy of Sciences, Beijing 100049, China, College of Life Science, Peking University, Beijing 100871, China Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China, University of Chinese Academy of Sciences, Beijing 100049, China, College of Life Science, Peking University, Beijing 100871, China.
  2. Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China, University of Chinese Academy of Sciences, Beijing 100049, China, College of Life Science, Peking University, Beijing 100871, China Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China, University of Chinese Academy of Sciences, Beijing 100049, China, College of Life Science, Peking University, Beijing 100871, China Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China, University of Chinese Academy of Sciences, Beijing 100049, China, College of Life Science, Peking University, Beijing 100871, China.
  3. Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China, University of Chinese Academy of Sciences, Beijing 100049, China, College of Life Science, Peking University, Beijing 100871, China [email protected] [email protected].

PMID: 25632108 PMCID: PMC4309022 DOI: 10.1093/database/bau127

Abstract

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. Database URL: http://lag.ihb.ac.cn/cyanomics.

© The Author(s) 2015. Published by Oxford University Press.

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