Title |
Review of Biological Network Data and Its Applications
|
---|---|
Published in |
Genomics & Informatics, December 2013
|
DOI | 10.5808/gi.2013.11.4.200 |
Pubmed ID | |
Authors |
Donghyeon Yu, MinSoo Kim, Guanghua Xiao, Tae Hyun Hwang |
Abstract |
Studying biological networks, such as protein-protein interactions, is key to understanding complex biological activities. Various types of large-scale biological datasets have been collected and analyzed with high-throughput technologies, including DNA microarray, next-generation sequencing, and the two-hybrid screening system, for this purpose. In this review, we focus on network-based approaches that help in understanding biological systems and identifying biological functions. Accordingly, this paper covers two major topics in network biology: reconstruction of gene regulatory networks and network-based applications, including protein function prediction, disease gene prioritization, and network-based genome-wide association study. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 3% |
Germany | 2 | 1% |
United Kingdom | 2 | 1% |
India | 1 | <1% |
Turkey | 1 | <1% |
Spain | 1 | <1% |
France | 1 | <1% |
Unknown | 186 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 49 | 25% |
Researcher | 25 | 13% |
Student > Master | 23 | 12% |
Student > Bachelor | 22 | 11% |
Student > Doctoral Student | 11 | 6% |
Other | 32 | 16% |
Unknown | 37 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 51 | 26% |
Biochemistry, Genetics and Molecular Biology | 40 | 20% |
Computer Science | 28 | 14% |
Medicine and Dentistry | 10 | 5% |
Engineering | 9 | 5% |
Other | 21 | 11% |
Unknown | 40 | 20% |