Thesis
Extending the Glue visualization tool with biological data-types
Master of Science (M.S.), Drexel University
01 Jun 2015
DOI:
https://doi.org/10.17918/etd-6501
Abstract
Glue is a data visualization tool designed for exploratory analysis that allows users to interactively explore relationships and patterns in large multidimensional datasets. Users can construct scatter plots and histograms, select regions of interest, and have their selections propagated across other visualizations and even across multiple files. This powerful functionality, known as data brushing, is immensely useful in teasing out hidden relationships in large complex datasets. Originally developed for astronomical information, we have subsequently extended its use with common biological data-types and visualizations. This project will present and discuss the addition of features designed for visualizing longitudinal time-series datasets and genetic sequences, both of which are common data-types in biological processes. These features will be illustrated in a research case study investigating how sequence variants of the human immunodeficiency virus type 1 (HIV-1) affect clinical outcomes. The implemented features will be discussed in the context of alternative solutions and broad impact.
Metrics
36 File views/ downloads
22 Record Views
Details
- Title
- Extending the Glue visualization tool with biological data-types
- Creators
- Alex Koszycki - DU
- Contributors
- William Nathanial Dampier (Advisor) - Drexel University (1970-)
- Awarding Institution
- Drexel University
- Degree Awarded
- Master of Science (M.S.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Number of pages
- xiv, 151 pages
- Resource Type
- Thesis
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems (1997-2026); Drexel University
- Other Identifier
- 6501; 991014632672104721