Bioinformatics and database tools for glycans

Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.

Bibliographic Details
Main Author: Berry, Eric Zachary, 1980-
Other Authors: Ram Sasisekharan.
Format: Thesis
Language:en_US
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/27085
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author Berry, Eric Zachary, 1980-
author2 Ram Sasisekharan.
author_facet Ram Sasisekharan.
Berry, Eric Zachary, 1980-
author_sort Berry, Eric Zachary, 1980-
collection MIT
description Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
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spelling mit-1721.1/270852019-04-11T11:04:06Z Bioinformatics and database tools for glycans Berry, Eric Zachary, 1980- Ram Sasisekharan. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. Includes bibliographical references (leaves 75-76). Recent advances in biology have afforded scientists with the knowledge that polysaccharides play an active role in modulating cellular activities. Glycosaminoglycans (GAGs) are one such family of polysaccharides that play a very important role in regulating the functions of numerous important signaling molecules and enzymes in the cell. Developing bioinformatics tools has been integral to advancing genomics and proteomics. While these tools have been well-developed to store and process sequence and structure information for proteins and DNA, they are very poorly developed for polysaccharides. Glycan structures pose special problems because of their tremendous information density per fundamental unit, their often-branched structures, and the complicated nature of their building blocks. The GlycoBank, an online database of known GAG structures and functions, has been developed to overcome many of these difficulties by developing a common notation for researchers to describe GAG sequences, a common repository to view known structure-function relationships, and the complex tools and searches needed to facilitate their work. This thesis focuses on the development of GlycoBank. In addition, a large, NIGMS-funded consortium, the Consortium for Functional Glycomics, is a larger database that also aims to store polysaccharide structure-function information of a broader collection of polysaccharides. The ideas and concepts implemented in developing GlycoBank were instrumental in developing databases and bioinformatics tools for the Consortium for Functional Glycomics. by Eric Zachary Berry. M.Eng.and S.B. 2005-09-06T21:39:59Z 2005-09-06T21:39:59Z 2004 2004 Thesis http://hdl.handle.net/1721.1/27085 56820961 en_US M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 76 leaves 4163415 bytes 4171278 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Berry, Eric Zachary, 1980-
Bioinformatics and database tools for glycans
title Bioinformatics and database tools for glycans
title_full Bioinformatics and database tools for glycans
title_fullStr Bioinformatics and database tools for glycans
title_full_unstemmed Bioinformatics and database tools for glycans
title_short Bioinformatics and database tools for glycans
title_sort bioinformatics and database tools for glycans
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/27085
work_keys_str_mv AT berryericzachary1980 bioinformaticsanddatabasetoolsforglycans