Artificial intelligence application on bioinformatics, progress, definitions, and tools
DOI:
https://doi.org/10.18634/ugcj.22v.1i.494Keywords:
Bioinformatics, artificial intelligence, Artificial Neuronal Networks, Biological Data.Abstract
Bioinformatics is a relatively new discipline which contributes discovery of biological information through implementation of computer techniques (Lopez-Gartner et al. 2015). This union surges due to problems found in complex phenomena, such as genetics, medicine effect simulation, disease prediction, etc. All of these situations involve a great amount of information and variables, leading to the need of support using new technologies. Notwithstanding, there are circumstances where even the best technologies are unable to find answers within a prudent time, it is here where it becomes necessary to use tools, techniques, frameworks and methodologies involved in artificial intelligence, in order to optimize the greater number of processes, by reducing time and computer expenses caused by managing such information. The following article develops a state-of-the-art of the best methods for application of artificial intelligence in bioinformatics found in literature.Downloads
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Published
2016-12-31
Issue
Section
Artículos Resultado de Investigación
How to Cite
Artificial intelligence application on bioinformatics, progress, definitions, and tools. (2016). UGCiencia, 22(1), 159-171. https://doi.org/10.18634/ugcj.22v.1i.494
