Development of Genomic Surveillance Bioinformatics Modules | Zendy

Eishita Tyagi | Zendy; Robin Hopkins | Zendy; Dan Baker | Zendy; King Jordan | Zendy; Shiyuyun Tang | Zendy

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Development of Genomic Surveillance Bioinformatics Modules

Author(s) -

Eishita Tyagi,

Robin Hopkins,

Dan Baker,

King Jordan,

Shiyuyun Tang

Publication year - 2015

Publication title -

online journal of public health informatics

Language(s) - English

Resource type - Journals

ISSN - 1947-2579

DOI - 10.5210/ojphi.v7i1.5762

Subject(s) - geospatial analysis , computer science , metadata , data science , visualization , analytics , identification (biology) , modular design , genomics , data mining , computational biology , genome , bioinformatics , world wide web , biology , geography , cartography , biochemistry , botany , gene , operating system

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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