整合物理图谱和遗传图谱：从基因组到相互作用网络。
Integrating physical and genetic maps: from genomes to interaction networks.
作者信息
Beyer Andreas, Bandyopadhyay Sourav, Ideker Trey
机构信息
Department of Bioengineering, University of California at San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA.
出版信息
Nat Rev Genet. 2007 Sep;8(9):699-710. doi: 10.1038/nrg2144.
Abstract
Physical and genetic mapping data have become as important to network biology as they once were to the Human Genome Project. Integrating physical and genetic networks currently faces several challenges: increasing the coverage of each type of network; establishing methods to assemble individual interaction measurements into contiguous pathway models; and annotating these pathways with detailed functional information. A particular challenge involves reconciling the wide variety of interaction types that are currently available. For this purpose, recent studies have sought to classify genetic and physical interactions along several complementary dimensions, such as ordered versus unordered, alleviating versus aggravating, and first versus second degree.
摘要
物理图谱和遗传图谱数据对于网络生物学而言，已经变得如同它们曾经对于人类基因组计划一样重要。整合物理网络和遗传网络目前面临若干挑战：提高每种类型网络的覆盖范围；建立将单个相互作用测量结果整合为连续通路模型的方法；并用详细的功能信息注释这些通路。一个特殊的挑战涉及协调当前可用的各种各样的相互作用类型。为此，最近的研究试图沿着几个互补维度对遗传相互作用和物理相互作用进行分类，例如有序与无序、缓解与加剧、以及一级与二级。
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