EXPath: A database of comparative expression analysis inferring metabolic pathways for plants

Chia Hung Chien, Chi Nga Chow, Nai Yun Wu, Yi Fan Chiang-Hsieh, Ping Fu Hou, Wen Chi Chang

研究成果: Article同行評審

37 引文 斯高帕斯(Scopus)

摘要

Background: In general, the expression of gene alters conditionally to catalyze a specific metabolic pathway. Microarray-based datasets have been massively produced to monitor gene expression levels in parallel with numerous experimental treatments. Although several studies facilitated the linkage of gene expression data and metabolic pathways, none of them are amassed for plants. Moreover, advanced analysis such as pathways enrichment or how genes express under different conditions is not rendered.Description: Therefore, EXPath was developed to not only comprehensively congregate the public microarray expression data from over 1000 samples in biotic stress, abiotic stress, and hormone secretion but also allow the usage of this abundant resource for coexpression analysis and differentially expression genes (DEGs) identification, finally inferring the enriched KEGG pathways and gene ontology (GO) terms of three model plants: Arabidopsis thaliana, Oryza sativa, and Zea mays. Users can access the gene expression patterns of interest under various conditions via five main functions (Gene Search, Pathway Search, DEGs Search, Pathways/GO Enrichment, and Coexpression analysis) in EXPath, which are presented by a user-friendly interface and valuable for further research.Conclusions: In conclusion, EXPath, freely available at http://expath.itps.ncku.edu.tw, is a database resource that collects and utilizes gene expression profiles derived from microarray platforms under various conditions to infer metabolic pathways for plants.

原文English
文章編號S6
期刊BMC genomics
16
DOIs
出版狀態Published - 2015 1月 21

All Science Journal Classification (ASJC) codes

  • 生物技術
  • 遺傳學

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