A database to infer biological processes based on co-expression network analysis of Arabidopsis genes
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- Ogata Yoshiyuki
- Kazusa DNA Research Institute
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- Sakurai Nozomu
- Kazusa DNA Research Institute
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- Aoki Koh
- Kazusa DNA Research Institute
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- Okazaki Koei
- Kazusa DNA Research Institute
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- Suzuki Hideyuki
- Kazusa DNA Research Institute
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- Saito Kazuki
- Graduate School of Pharmaceutical Science, Chiba Univ.
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- Shibata Daisuke
- Kazusa DNA Research Institute
Bibliographic Information
- Other Title
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- シロイヌナズナ共発現ネットワーク解析に基づいた生物プロセスの予測データベース
Abstract
We previously developed an algorithm for inferring co-expressed genes using network analysis. Here, we applied the algorithm to a dataset of Arabidopsis DNA microarrays including 1,388 chips. From 22,263 genes, we obtained approximately 300 sets of genes that are highly correlated within individual sets, or co-expressed. The genes in individual sets are functionally related to each other. To systematically infer biological processes associated with individual gene sets, a public database of the co-expressed gene sets was constructed. The database provides information for the individual co-expressed gene sets such as co-expression networks and functional description of genes, and information for the biological processes such as metabolic pathways assignment. Dissimilar to other public co-expression databases that can search genes co-expressed with the query genes (genes-to-genes), our database allows the search for biological processes associated with the co-expressed gene sets (genes-to-processes), which facilitates advanced functional annotations of Arabidopsis genes.
Journal
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- Plant and Cell Physiology Supplement
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Plant and Cell Physiology Supplement 2008 (0), 0122-0122, 2008
The Japanese Society of Plant Physiologists
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Details 詳細情報について
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- CRID
- 1390282680608530304
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- NII Article ID
- 130006993202
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed