SEA: a novel computational and GUI software pipeline for detecting activated biological sub-pathways
Date of Award
Summer 8-2011
Degree Type
Thesis-Restricted
Degree Name
M.S.
Degree Program
Computer Science
Department
Computer Science
Major Professor
Zhu, Dongxiao
Second Advisor
Summa, Christopher M.
Third Advisor
DePano, Nathanael A.
Abstract
With the ever increasing amount of high-throughput molecular profile data, biologists need versatile tools to enable them to quickly and succinctly analyze their data. Furthermore, pathway databases have grown increasingly robust with the KEGG database at the forefront. Previous tools have color-coded the genes on different pathways using differential expression analysis. Unfortunately, they do not adequately capture the relationships of the genes amongst one another. Structure Enrichment Analysis (SEA) thus seeks to take biological analysis to the next level. SEA accomplishes this goal by highlighting for users the sub-pathways of a biological pathways that best correspond to their molecular profile data in an easy to use GUI interface.
Recommended Citation
Judeh, Thair, "SEA: a novel computational and GUI software pipeline for detecting activated biological sub-pathways" (2011). University of New Orleans Theses and Dissertations. 463.
https://scholarworks.uno.edu/td/463
Rights
The University of New Orleans and its agents retain the non-exclusive license to archive and make accessible this dissertation or thesis in whole or part in all forms of media, now or hereafter known. The author retains all other ownership rights to the copyright of the thesis or dissertation.