Abstract | ||
---|---|---|
The resultant outcome of synthetic biology research offers the promise of changing the way that we create energy, produce food, optimize industrial processing, and detect, prevent, and cure diseases. Researchers can now realize the significant benefits of the cloud computing model to reduce IT cost and complexity, enhance R&D collaboration, and improve bioinformatics to allow lifesciences organizations to focus on answering some of lifes most challenging questions. |
Year | DOI | Venue |
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2013 | 10.1016/j.procs.2013.09.291 | Procedia Computer Science |
Keywords | Field | DocType |
IT,Cloud Computing,Big Data,Data Analytics,Life Science,Synthetic Biology,DNA,Bioinformatics,Complex Adaptive Systems | Data science,Data mining,Data analysis,Computer science,Complex adaptive system,Big data,Synthetic biology,Cloud computing | Conference |
Volume | ISSN | Citations |
20 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Melvin Greer | 1 | 24 | 3.55 |
Manuel Rodríguez-Martínez | 2 | 19 | 4.07 |
Jaime Seguel | 3 | 39 | 10.02 |