Using expression data to help pathway curation

Keith S. Decker, Preeti Anday, Liang Sun, C. Schmidt
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引用次数: 2

Abstract

Pathway models for organisms beyond the most popular model organisms are often notoriously incomplete, even for commercially important species such as gallus gallus. This can make experimental expression data hard to interpret. The paper describes ESCAPE [Experimental System for Curation Assistance of Pathways via Espression data], under development to use available expression data, along with existing orthology mappings and curated machine-interpretable pathways, to assist in rapidly curating new species-specific pathways. Some of these techniques can also be extended to help in the analysis of the expression data in a curated pathway context as well.
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利用表达数据帮助通路管理
除了最流行的模式生物之外,生物的途径模型往往是出了名的不完整,即使是对商业上重要的物种,如鸡,也是如此。这使得实验表达数据难以解释。这篇论文描述了正在开发中的ESCAPE(通过表达数据辅助路径管理实验系统),该系统将使用可用的表达数据,以及现有的形态学映射和机器可解释的路径管理,以帮助快速管理新的物种特异性路径。这些技术中的一些也可以扩展到帮助分析在一个精心策划的途径背景下的表达数据。
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