Using bioinformatics training to boost research capacities in resource-limited regions

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.