Title |
iCTNet: A Cytoscape plugin to produce and analyze integrative complex traits networks
|
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Published in |
BMC Bioinformatics, September 2011
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DOI | 10.1186/1471-2105-12-380 |
Pubmed ID | |
Authors |
Lili Wang, Pouya Khankhanian, Sergio E Baranzini, Parvin Mousavi |
Abstract |
The speed at which biological datasets are being accumulated stands in contrast to our ability to integrate them meaningfully. Large-scale biological databases containing datasets of genes, proteins, cells, organs, and diseases are being created but they are not connected. Integration of these vast but heterogeneous sources of information will allow the systematic and comprehensive analysis of molecular and clinical datasets, spanning hundreds of dimensions and thousands of individuals. This integration is essential to capitalize on the value of current and future molecular- and cellular-level data on humans to gain novel insights about health and disease. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 6 | 7% |
United Kingdom | 2 | 2% |
Spain | 2 | 2% |
France | 1 | 1% |
Portugal | 1 | 1% |
United States | 1 | 1% |
Unknown | 76 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 23 | 26% |
Researcher | 19 | 21% |
Professor > Associate Professor | 8 | 9% |
Student > Postgraduate | 6 | 7% |
Other | 5 | 6% |
Other | 17 | 19% |
Unknown | 11 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 31 | 35% |
Biochemistry, Genetics and Molecular Biology | 14 | 16% |
Medicine and Dentistry | 12 | 13% |
Computer Science | 6 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
Other | 10 | 11% |
Unknown | 13 | 15% |