A quick guide to biomolecular network studies: construction, analysis, applications, and resources.
Over the past decade, a rapid increase in network data including signaling, transcription regulation, metabolic reaction, protein-protein interaction and genetic interaction has been observed. Many biology issues have been investigated by analyzing these diverse networks, providing new insights into biology. Networks also play an important role in disease studies including disease gene screening and clinical diagnosis. Large amounts of databases and software have been developed to facilitate the storage, exchange, integration, and analysis of network data and network analysis is becoming a routine procedure for biologists to infer biological information. In this review, several main aspects of network studies are discussed, including network construction, analysis, application, and resources.
College of Mechanical & Electronic Engineering and Automatization, National University of Defense Technology, Changsha 410073, China.
Hailin
H
Tang
Fan
F
Zhong
Hongwei
H
Xie
D003627:Data Interpretation, Statistical; D030541:Databases, Genetic / Q000706:statistics & numerical data*; D004194:Disease / Q000235:genetics*; D005796:Genes; D005820:Genetic Testing; D006801:Humans; D007255:Information Services; D046228:Microarray Analysis