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Coevolution, modularity and human disease
DOI:10.1016/j.gde.2006.09.001.png)
Abstract
En 中文
The concepts of coevolution and modularity have been studied separately for decades. Recent advances in genomics have led to the first systematic studies in each of these fields at the molecular level, resulting in several important discoveries. Both coevolution and modularity appear to be pervasive features of genomic data from all species studied to date, and their presence can be detected in many types of datasets, including genome sequences, gene expression data, and protein-protein interaction data. Moreover, the combination of these two ideas might have implications for our understanding of many aspects of biology, ranging from the general architecture of living systems to the causes of various human diseases.
Keywords:
BARDET-BIEDL-SYNDROME
YEAST SACCHAROMYCES-CEREVISIAE
PROTEIN INTERACTION NETWORK
GENE-EXPRESSION DATA
MOLECULAR-NETWORK
EVOLUTION
MODULES
ORGANIZATION
INFORMATION
GENOMICS
Journal
C
IF:
3.6
Papers:
2.9K
Citations:
6.9K
Organization
No organization information available
Cited Papers
Genome-wide strategies for detecting multiple loci that influence complex diseases
NATURE GENETICS
IF31.8
Control of yeast filamentous-form growth by modules in an integrated molecular network
GENOME RESEARCH
IF5.5

