Using bioinformatics training to boost research capacities in resource-limited regions
1
University of California, Los Angeles, Los Angeles, CA, United States
2
The Johns Hopkins University, Baltimore, United States
3
Universidad Tecnológica de Panamá, Panama, Panama
4
George Washington University, DC, United States
5
University of California, San Diego, San Diego, United States
- Published
- Accepted
- Subject Areas
- Bioinformatics, Computational Biology, Genomics, Science and Medical Education
- Keywords
- bioinformatics education, lower-income countries
- Copyright
- © 2018 Mangul et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2018. Using bioinformatics training to boost research capacities in resource-limited regions. PeerJ Preprints 6:e27415v1 https://doi.org/10.7287/peerj.preprints.27415v1
Abstract
Bioinformatics algorithms are now crucial for processing high throughput “-omics” data and deriving meaningful interpretations in most biomedical and life science research domains. Bioinformatics-related training and research mostly take place in nations with higher income economies. Scientists in lower-income countries publish less frequently than scientists in higher-income countries. Major discoveries in bioinformatics do not require expensive laboratory equipment. We proposed a framework that would enable scientists in lower-income countries to re-analyze published “-omics” data given training, support, and access to standard computing hardware and cloud-based resources.
Author Comment
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