Thesis advisor: Gabor T. Marth / Rapid advances in genome sequencing enable a wide range of biological experiments on a scale that was until recently restricted to large genome centers. However, the analysis of the resulting vast genomic datasets is time-consuming, unintuitive and requires considerable computational expertise and costly infrastructure. Collectively, these factors effectively exclude many bench biologists from genome-scale analyses. Web-based visualization and analysis libraries, frameworks, and applications were developed to empower all biological researchers to easily, interactively, and in a visually driven manner, analyze large biomedical datasets that are essential for their research, without bioinformatics expertise and costly hardware. / Thesis (PhD) — Boston College, 2014. / Submitted to: Boston College. Graduate School of Arts and Sciences. / Discipline: Biology.
| Identifer | oai:union.ndltd.org:BOSTON/oai:dlib.bc.edu:bc-ir_104052 |
| Date | January 2014 |
| Creators | Miller, Chase Allen |
| Publisher | Boston College |
| Source Sets | Boston College |
| Language | English |
| Detected Language | English |
| Type | Text, thesis |
| Format | electronic, application/pdf |
| Rights | Copyright is held by the author, with all rights reserved, unless otherwise noted. |
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