cGRNexp:基于用户上传的基因表达数据集构建组合基因调控网络的web平台

Huayong Xu, Hui Yu, K. Tu, Qianqian Shi, Chaochun Wei, Yuan-yuan Li, Yixue Li
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引用次数: 1

摘要

虽然我们见证了构建和分析组合调控网络(包括TF调控因子和miRNA调控因子)的方法/算法的快速发展,但我们发现缺乏可用的工具或服务器来促进相关工作。特别需要一个网络服务,允许用户上传他们自己的表达数据集,并根据特定的实验环境挖掘组合基因调控网络。在此,我们报告了cGRNexp,一个基于用户上传的基因表达数据集构建组合基因调控网络的web平台。在cGRNexp中,我们建立了三种基于序列匹配的调控关系,并实现了两个功能模块,用于处理microrna干扰的基因表达数据集和并行miRNA/mRNA表达数据集。随着微阵列和下一代测序平台的日益便利,在不久的将来将可以获得大量的miRNA或mRNA表达数据集,因此,我们的web平台cGRNexp将非常有助于帮助人们从自己的表达数据集中挖掘条件组合调节网络。cGRNexp可通过http://www.scbit.org/cgrnexp/访问。
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cGRNexp: a web platform for building combinatorial gene regulation networks based on user-uploaded gene expression datasets
While we witness rapid progresses in development of methodologies/algorithms for constructing and analyzing the combinatorial regulation network which includes both TF regulators and miRNA regulators, we find a lack of tools or servers available for facilitating related works. A web service is especially needed that allows user to upload their own expression datasets and mine the combinatorial gene reglatory networks regarding the particular experimental context. Herein we report cGRNexp, a web platform for building combinatorial gene regulation networks based on user-uploaded gene expression datasets. In cGRNexp, we deposit three types of sequence-matching-based regulatory relationships and implement two functional modules for processing microRNA-perturbed gene expression datasets and parallel miRNA/mRNA expression datasets. With the microarrays and next-generation sequencing platforms being increasingly accessible, a large amount of miRNA or mRNA expression datasets will be attainable in the near future, and thus, our web platform cGRNexp will be very useful for helping people mine the conditional combinatorial regulatory networks from their own expression datasets. cGRNexp is accessible at http://www.scbit.org/cgrnexp/.
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