Computational biology in Costa Rica: the role of a small country in the global context of bioinformatics
The successful development of high throughput methods for DNA sequencing, transcriptomics, proteomics, and other –omics, has contributed to the emergence of novel possibilities for the examination of complex biological systems through computational analysis. These fields have witnessed unprecede...
| Autores Principales: | Moreno, Edgardo, Lomonte, Bruno, Gutiérrez, José María |
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| Formato: | Artículo |
| Idioma: | Inglés |
| Publicado: |
PLoS Computational Biology
2022
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| Materias: | |
| Acceso en línea: |
http://hdl.handle.net/11056/24325 https://doi.org/10.1371/journal.pcbi.1000040 |
| Sumario: |
The successful development of high throughput methods for
DNA sequencing, transcriptomics, proteomics, and other –omics,
has contributed to the emergence of novel possibilities for the
examination of complex biological systems through computational
analysis. These fields have witnessed unprecedented advances in
high income countries. Nevertheless, the role of other nations
needs to be examined in order to delineate their contribution
within the global context of bioinformatics. Previous articles have
focused on the expansion of Computational Biology in Brazil and
Mexico [1,2], two of the largest Latin American countries, and
which have shown political commitment to foster their scientific
development. Costa Rica is a small Central American country
with a population of 4 million, with its territory 164 and 38 times
smaller than Brazil and Mexico, respectively. Thus, it is interesting
to visualize the possibilities and challenges of this low-income
country in the context of the global bioinformatics endeavor. |
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