Development of Genomic Surveillance Bioinformatics Modules

Eishita Tyagi, R. C. Hopkins, Dan Baker, King Jordan, Shiyuyun Tang


Developing a modular approach to infectious disease genomic analysis that can easily integrate with public health analytics systems. Using dynamic approaches to genomic sequence analysis, relevant whole genome data can be quickly and accurately visualized and correlated, using a minimum of computational resources. We propose to develop visualization modules that integrate disparate data sources including integrate geospatial location metadata with associated epidemiological factors to enable faster outbreak identification and enhance surveillance.

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Online Journal of Public Health Informatics * ISSN 1947-2579 *