A database to infer biological processes based on co-expression network analysis of Arabidopsis genes

DOI

Bibliographic Information

Other Title
  • 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

Details 詳細情報について

  • CRID
    1390282680608530304
  • NII Article ID
    130006993202
  • DOI
    10.14841/jspp.2008.0.0122.0
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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