Project Period
August 1, 1997-July 31, 2000
Level of Access
Open-Access Report
Grant Number
9723873
Submission Date
3-12-2001
Abstract
This project will investigate the application of geographic information science concepts and methods to the modeling and analysis of genome data. The primary objective of the research is to develop a data model for genomes that supports the graphical exploration of the higher order spatial arrangement of genome features through spatial queries and spatial data analysis tools. The spatial genome model formalizes topological and order relationships among genome features (before, after, overlap), uses metric properties to refine spatial topologies, and includes representations of features that have uncertain metric properties. The genome spatial model enhances the integrative and comparative potential of genome data by providing the foundation for more powerful spatial reasoning and inferences than can be achieved by data models that incorporate only a small subset of possible temporal-spatial relationships among genome features (e.g. order and distance). The research represents a logical extension from current "feature by feature" analytical approaches of genome studies to one that allows biologists to ask questions about the contextual and organizational significance of the spatial arrangement of genome features. These functional capabilities should, in turn, aid in the automation of repetitive analytical tasks associated with the mapping of genome features and drive the discovery of biologically significant aspects of genome organization and function.
Rights and Access Note
This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. In addition, no permission is required from the rights-holder(s) for educational uses. For other uses, you need to obtain permission from the rights-holder(s).
Recommended Citation
Beard-Tisdale, Mary-Kate; Bult, Carol; and Egenhofer, Max J. Editor, "Application of Spatial Concepts to Genome Data" (2001). University of Maine Office of Research Administration: Grant Reports. 219.
https://digitalcommons.library.umaine.edu/orsp_reports/219
Additional Participants
Senior Personnel
Tom Wheeler
Graduate Student
Connie Holden
Mary Holan
Andrea Rodriquez
Undergraduate Student
Amber Bethell
Suzannah Hall
Technician, Programmer
Nathan Guerney
Organizational Partner
Jackson Laboratory