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Towards a Web-Based, Big Data, Genomics Ecosystem

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.

Identiferoai:union.ndltd.org:BOSTON/oai:dlib.bc.edu:bc-ir_104052
Date January 2014
CreatorsMiller, Chase Allen
PublisherBoston College
Source SetsBoston College
LanguageEnglish
Detected LanguageEnglish
TypeText, thesis
Formatelectronic, application/pdf
RightsCopyright is held by the author, with all rights reserved, unless otherwise noted.

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