Title |
Ontology-Based Meta-Analysis of Global Collections of High-Throughput Public Data
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Published in |
PLOS ONE, September 2010
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DOI | 10.1371/journal.pone.0013066 |
Pubmed ID | |
Authors |
Ilya Kupershmidt, Qiaojuan Jane Su, Anoop Grewal, Suman Sundaresh, Inbal Halperin, James Flynn, Mamatha Shekar, Helen Wang, Jenny Park, Wenwu Cui, Gregory D. Wall, Robert Wisotzkey, Satnam Alag, Saeid Akhtari, Mostafa Ronaghi |
Abstract |
The investigation of the interconnections between the molecular and genetic events that govern biological systems is essential if we are to understand the development of disease and design effective novel treatments. Microarray and next-generation sequencing technologies have the potential to provide this information. However, taking full advantage of these approaches requires that biological connections be made across large quantities of highly heterogeneous genomic datasets. Leveraging the increasingly huge quantities of genomic data in the public domain is fast becoming one of the key challenges in the research community today. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 3% |
Canada | 3 | 1% |
United Kingdom | 3 | 1% |
Japan | 2 | <1% |
Uruguay | 1 | <1% |
India | 1 | <1% |
Ireland | 1 | <1% |
China | 1 | <1% |
Finland | 1 | <1% |
Other | 2 | <1% |
Unknown | 184 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 64 | 31% |
Student > Ph. D. Student | 48 | 23% |
Other | 17 | 8% |
Professor > Associate Professor | 14 | 7% |
Student > Master | 11 | 5% |
Other | 28 | 14% |
Unknown | 24 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 74 | 36% |
Biochemistry, Genetics and Molecular Biology | 29 | 14% |
Medicine and Dentistry | 19 | 9% |
Computer Science | 18 | 9% |
Engineering | 6 | 3% |
Other | 31 | 15% |
Unknown | 29 | 14% |