EXPath tool—a system for comprehensively analyzing regulatory pathways and coexpression networks from high-throughput transcriptome data

Han Qin Zheng, Nai Yun Wu, Chi Nga Chow, Kuan Chieh Tseng, Chia Hung Chien, Yu Cheng Hung, Guan Zhen Li, Wen Chi Chang

研究成果: Article同行評審

10 引文 斯高帕斯(Scopus)

摘要

Next generation sequencing (NGS) has become the mainstream approach for monitoring gene expression levels in parallel with various experimental treatments. Unfortunately, there is no systematical webserver to comprehensively perform further analysis based on the huge amount of preliminary data that is obtained after finishing the process of gene annotation. Therefore, a user-friendly and effective system is required to mine important genes and regulatory pathways under specific conditions from high-throughput transcriptome data. EXPath Tool (available at: http://expathtool.itps.ncku.edu.tw/) was developed for the pathway annotation and comparative analysis of user-customized gene expression profiles derived from microarray or NGS platforms under various conditions to infer metabolic pathways for all organisms in the KEGG database. EXPath Tool contains several functions: access the gene expression patterns and the candidates of co-expression genes; dissect differentially expressed genes (DEGs) between two conditions (DEGs search), functional grouping with pathway and GO (Pathway/GO enrichment analysis), and correlation networks (co-expression analysis), and view the expression patterns of genes involved in specific pathways to infer the effects of the treatment. Additionally, the effectively of EXPath Tool has been performed by a case study on IAA-responsive genes. The results demonstrated that critical hub genes under IAA treatment could be efficiently identified.

原文English
頁(從 - 到)371-375
頁數5
期刊DNA Research
24
發行號4
DOIs
出版狀態Published - 2017 8月 1

All Science Journal Classification (ASJC) codes

  • 分子生物學
  • 遺傳學

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