An analysis of techniques for obtaining speedup in software solutions for proteomics
Abstract
Proteomics is the study of the structure and behavior of proteins. In order to perform this kind of an analysis, proteins are broken down into their constituent peptides, and values of different parameters are recorded. The amount of this kind of data collected is very large, and therefore analysis of this data becomes time-consuming. To overcome this issue, there have been several software developed for processing protein data. With a large number of software solutions available in the market, the decision about which one to use is hard for the end-user. The expectations from such a software for each user vary. Apart from the end-users, there are software developers working on improving the quality of the existing software by implementing suitable optimization techniques. This study therefore proposes a comparison framework for software solutions for proteomics that will benefit the readers by providing all the information required in order to make a decision about the software that is suitable for their needs.
Degree
M.S.
Advisors
Springer, Purdue University.
Subject Area
Information Technology
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