Date of Award
Summer 8-2012
Degree Type
Dissertation
Degree Name
Ph.D.
Degree Program
Engineering and Applied Science
Department
Computer Science
Major Professor
Christopher Taylor
Abstract
The main theme of this dissertation is to develop a distributed computational pipeline for processing next-generation RNA sequencing (RNA-seq) data. RNA-seq experiments generate hundreds of millions of short reads for each DNA/RNA sample. There are many existing bioinformatics tools developed for the analysis and visualization of this data, but very large studies present computational and organizational challenges that are difficult to overcome manually. We designed a comprehensive pipeline for the analysis of RNA sequencing which leverages many existing tools and parallel computing technology to facilitate the analysis of extremely large studies. RNA CoMPASS provides a web-based graphical user interface and distributed computational pipeline including endogenous transcriptome quantification and additionally the investigation of exogenous sequences.
Recommended Citation
Xu, Guorong, "RNA CoMPASS: RNA Comprehensive Multi-Processor Analysis System for Sequencing" (2012). University of New Orleans Theses and Dissertations. 1531.
https://scholarworks.uno.edu/td/1531
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 in 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.