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This article is part of the supplement: BioSysBio 2007: Systems Biology, Bioinformatics, Synthetic Biology

Open Access Poster presentation

Estrategic aspects by technology transfer from the academic and business development of the bioinformatics in Costa Rica and the central American region

Allan Orozco

Author Affiliations

School of Agronomy, Costa Rica Institute of Technology, Costa Rica

BMC Systems Biology 2007, 1(Suppl 1):P82  doi:10.1186/1752-0509-1-S1-P82

The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1752-0509/1/S1/P82


Published:8 May 2007

© 2007 Orozco; licensee BioMed Central Ltd.

Poster presentation

The biological languages (nucleotides and amino acids) are important to design advanced biotechnological and pharmaceutical products with Bioinformatics. Actually, in Universities all over the world there are operating academic programs dedicated to prepare experts in this field to an undergraduate and graduate level as an authentic science (even in its own objects of study as complex systems) with recognized specialized divisions (Biocomputer, Computer Molecular Biology and Digital Biology, between others). The regional biological resources of Latin America (plants, animals and other biodiversity) is not taken advantage of in a totally technological way because of the lack of collaboration between those who have the technology and those who have the specific resources for its development and investigation; limiting even opportunities in the growing of the world technology derived from the bioinformatics. Costa Rica, is seen as a leader in the software development in Central America. The success has been obtained through the existent quality in our technological environment. The knowledge with a high creativity can generate innovative products in different fields. As it is demonstrated today by many Costa Rican software companies that have created unique applications worldwide. On the other hand, bioinformatics projects propose a vision of integration in multiple scientific and technological areas related with the molecular investigation and our biodiversity genetics. The innovation and practical form of its functionality is key for the preferences of possible buyers. Besides, it represents an effective opportunity in the time and costs decrease in relation with the traditional methods that are not always effective.

The genetic algorithmics developed are based in the extraction of interesting regions and constitute a huge help when there is a necessity of extraction of knowledge versus processing time. The creation of automatic bio-systems of identification under statistic models are very important and of excellent support for scientists and researchers of the region. The improvement of an adequate model of technological transfer in bioinformatics in the Central American region, will allow us to discover key elements in the drug development of great importance, mainly when we have available a spectacular scenery from the research of our unique biological diversity and the structural models, processes and biological systems that the nature offers us as starting points in the process for the development of software products in bioinformatics. It will look for the participation of different professionals interested in the development of technological ideas with business purposes, mainly oriented to the software production field.

References

  1. Orozco A: Bioinformática: Un mundo de oportunidades. INCAE (with support of Harvard Business School). In SSI. Volume 5. Costa Rica; 2005::1-3. OpenURL

  2. Orozco A: Bioinformática: Ingeniería de análisis para el código de la vida. Transferencia de Tecnología.

    ITCR 2004, 12(63):1-2. OpenURL

  3. Orozco A: Bioinformática: Métodos y técnicas digitales de diagnóstico genético. Transferencia de Tecnología. In ITCR. Volume 12. Costa Rica; 2004::4-5. OpenURL

  4. Orozco A: Diseño de una metodología aplicada en imágenes digitales para la detección citológica del cáncer de mama a partir de biopsias. In X Convención Internacional de Informática 2004. Primer Congreso Internacional de Bioinformática, Habana, Cuba; 2004:363-364. PubMed Abstract OpenURL