EXPath: a database of comparative expression analysis inferring metabolic pathways for plants
| Autor: | Ping Fu Hou, Nai Yun Wu, Chia Hung Chien, Chi Nga Chow, Wen Chi Chang, Yi Fan Chiang-Hsieh |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Microarray
Arabidopsis Biology Proteomics Zea mays Transcriptome Gene Expression Regulation Plant Gene expression Databases Genetic Genetics Gene Oligonucleotide Array Sequence Analysis Internet food and beverages Computational Biology Oryza Plants biology.organism_classification Metabolic pathway Proceedings Gene Ontology DNA microarray Algorithms Metabolic Networks and Pathways Biotechnology |
| Zdroj: | BMC Genomics |
| ISSN: | 1471-2164 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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