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CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002
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 proteo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4309022/ https://www.ncbi.nlm.nih.gov/pubmed/25632108 http://dx.doi.org/10.1093/database/bau127 |
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author | Yang, Yaohua Feng, Jie Li, Tao Ge, Feng Zhao, Jindong |
author_facet | Yang, Yaohua Feng, Jie Li, Tao Ge, Feng Zhao, Jindong |
author_sort | Yang, Yaohua |
collection | PubMed |
description | 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 |
format | Online Article Text |
id | pubmed-4309022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43090222015-02-24 CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002 Yang, Yaohua Feng, Jie Li, Tao Ge, Feng Zhao, Jindong Database (Oxford) Original Article 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 Oxford University Press 2015-01-28 /pmc/articles/PMC4309022/ /pubmed/25632108 http://dx.doi.org/10.1093/database/bau127 Text en © The Author(s) 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Yang, Yaohua Feng, Jie Li, Tao Ge, Feng Zhao, Jindong CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002 |
title | CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002 |
title_full | CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002 |
title_fullStr | CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002 |
title_full_unstemmed | CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002 |
title_short | CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002 |
title_sort | cyanomics: an integrated database of omics for the model cyanobacterium synechococcus sp. pcc 7002 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4309022/ https://www.ncbi.nlm.nih.gov/pubmed/25632108 http://dx.doi.org/10.1093/database/bau127 |
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