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
Thesis (Ph.D.)--University of Washington, 2020Within infectious disease epidemiology, genomic epidem...
The implementation of routine whole-genome sequencing (WGS) promises to transform our ability to mon...
The implementation of routine whole-genome sequencing (WGS) promises to transform our ability to mon...
Whole genome analysis based on next generation sequencing (NGS) now represents an affordable framewo...
Whole genome sequencing (WGS), the sequencing of (nearly) complete genomes, has had an enormous impa...
The implementation of routine whole-genome sequencing (WGS) promises to transform our ability to mon...
The surveillance of health care-associated infection (HAI) is an essential element of the infection ...
The SARS-CoV-2 pandemic led to a huge increase in global pathogen genome sequencing efforts, and the...
BACKGROUND: Determining infectious cross-transmission events in healthcare settings involves manual ...
ReporTree: a surveillance-oriented tool to strengthen the linkage between pathogen genetic clusters ...
Public health agencies increasingly couple next generation sequencing (NGS) characterization of micr...
Many human diseases are caused by emerging pathogens, such as the SARS and MERS coronaviruses. Timel...
Recent advancements in sequencing technology and data analytics have led to a transformative era in ...
BACKGROUND: Pathogen whole genome sequencing (WGS) is being incorporated into public health surveill...
Whole-genome sequencing is increasingly adopted in clinical settings to identify pathogen transmissi...
Thesis (Ph.D.)--University of Washington, 2020Within infectious disease epidemiology, genomic epidem...
The implementation of routine whole-genome sequencing (WGS) promises to transform our ability to mon...
The implementation of routine whole-genome sequencing (WGS) promises to transform our ability to mon...
Whole genome analysis based on next generation sequencing (NGS) now represents an affordable framewo...
Whole genome sequencing (WGS), the sequencing of (nearly) complete genomes, has had an enormous impa...
The implementation of routine whole-genome sequencing (WGS) promises to transform our ability to mon...
The surveillance of health care-associated infection (HAI) is an essential element of the infection ...
The SARS-CoV-2 pandemic led to a huge increase in global pathogen genome sequencing efforts, and the...
BACKGROUND: Determining infectious cross-transmission events in healthcare settings involves manual ...
ReporTree: a surveillance-oriented tool to strengthen the linkage between pathogen genetic clusters ...
Public health agencies increasingly couple next generation sequencing (NGS) characterization of micr...
Many human diseases are caused by emerging pathogens, such as the SARS and MERS coronaviruses. Timel...
Recent advancements in sequencing technology and data analytics have led to a transformative era in ...
BACKGROUND: Pathogen whole genome sequencing (WGS) is being incorporated into public health surveill...
Whole-genome sequencing is increasingly adopted in clinical settings to identify pathogen transmissi...
Thesis (Ph.D.)--University of Washington, 2020Within infectious disease epidemiology, genomic epidem...
The implementation of routine whole-genome sequencing (WGS) promises to transform our ability to mon...
The implementation of routine whole-genome sequencing (WGS) promises to transform our ability to mon...