Date of Award

2016

Degree Type

Thesis

Degree Name

Master of Science in Computer Science

Department

Computer Science and Statistics

First Advisor

Joan Peckham

Abstract

This thesis describes the design and implementation of Anti-Microbial Peptide Editable Database (“AMPed”), a tool to enable researchers to efficiently search, display, manipulate and store data about antimicrobial peptides. The tool is implemented as a secure website, created primarily using PHP and MySQL. The website exposes the data collected from a wide variety of sources via a set of common rules and nomenclature making it easy and intuitive for researchers to work with it. The website was evaluated on a variety of web browsers, as well as with a variety of users. It solves the need of non-technical users who spend hours searching and correlating relevant peptide data from a variety of sources for their research needs. This thesis primarily focused on creating and normalizing the database, creating modular search queries and building the web interface. This thesis also introduces a new way to document components of complex and interactive webpages.

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