Integrating physical and genetic maps: from genomes to interaction networks

被引:142
作者
Beyer, Andreas
Bandyopadhyay, Sourav
Ideker, Trey [1 ]
机构
[1] Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA
[2] Tech Univ Dresden, BIOTEC, D-01062 Dresden, Germany
关键词
D O I
10.1038/nrg2144
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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.
引用
收藏
页码:699 / 710
页数:12
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