A database and bioinformatics tools for detection of novel, emerging and engineered threats by mass spectrometry (MS)-based proteomics

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Title

A database and bioinformatics tools for detection of novel, emerging and engineered threats by mass spectrometry (MS)-based proteomics

Identifier

DF2010Deshpande

Type

["Text"]

Genre

["Dissertations"]

Format

["pdf"]

Rights

This thesis or dissertation is restricted from access because there is no internet release form on file. If you are the author and you would like to submit an internet release form allowing us to publish your thesis or dissertation online, please contact spcoll@towson.edu. Copyright protected, all rights reserved.

General Notes

Doctoral thesis research directed by Department of Computer and Information Sciences.

Extent

xiii, 172 pages

Language

["English"]

Repository

["Towson University. Albert S. Cook Library. Special Collections and University Archives"]

Collection Name

["Towson University Graduate Theses and Dissertations"]

Author

Deshpande, Samir V.

Degree Date

2010

Department or Program

["Towson University. Department of Computer and Information Sciences"]

Abstract

The objective of the project research is to design and develop a database consisting of amino acid sequences, phylogenetic, phenotypic, genomic, cellular features, pathogenic and related disease information for the agents of biological origin (ABO) and development of a suite of bioinformatics tools designed to assess the feasibility of using the emerging high-throughput proteomics technology to develop the ability to detect and identify infectious agents. The strategy is based on a concept that novel threats emerged or were bioengineered using sequence motifs derived from known toxins and virulence factors and therefore can be detected by interrogating a comprehensive database of functional signatures.

Contents

Introduction to proteomics -- Introduction to bioinformatics -- Introduction to mass spectrometry -- Mass Spectrometry based Proteomics approach (MSP) -- Identification and characterization of organisms from tandem mass spectrometry data

Thesis Committee Members

["Kaza, Siddharth","Song, Yeong-Tae, 1960-","Hong, Sungchul"]

Date Published

20 December 2012

Author (Controlled)

["Deshpande, Samir V."]

Thesis Advisor

["Alkharouf, Nadim"]

Degree Note

(D. Sc.) -- Towson University, 2010.

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