Title |
Integration of interactive, multi-scale network navigation approach with Cytoscape for functional genomics in the big data era
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Published in |
BMC Genomics, December 2012
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DOI | 10.1186/1471-2164-13-s7-s24 |
Pubmed ID | |
Authors |
Thanet Praneenararat, Toshihisa Takagi, Wataru Iwasaki |
Abstract |
The overwhelming amount of network data in functional genomics is making its visualization cluttered with jumbling nodes and edges. Such cluttered network visualization, which is known as "hair-balls", is significantly hindering data interpretation and analysis of researchers. Effective navigation approaches that can always abstract network data properly and present them insightfully are hence required, to help researchers interpret the data and acquire knowledge efficiently. Cytoscape is a de facto standard platform for network visualization and analysis, which has many users around the world. Apart from its core sophisticated features, it easily allows for extension of the functionalities by loading extra plug-ins. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 3 | 50% |
United States | 1 | 17% |
France | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 2 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 2% |
Sweden | 1 | 2% |
United Kingdom | 1 | 2% |
Spain | 1 | 2% |
Japan | 1 | 2% |
Greece | 1 | 2% |
Luxembourg | 1 | 2% |
Unknown | 45 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 35% |
Student > Ph. D. Student | 9 | 17% |
Student > Master | 8 | 15% |
Lecturer | 3 | 6% |
Other | 3 | 6% |
Other | 8 | 15% |
Unknown | 3 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 19 | 37% |
Computer Science | 10 | 19% |
Biochemistry, Genetics and Molecular Biology | 5 | 10% |
Medicine and Dentistry | 4 | 8% |
Immunology and Microbiology | 2 | 4% |
Other | 8 | 15% |
Unknown | 4 | 8% |