Hardware Software Co-Design for Protein Identification

Thallada, Sandeep (2016) Hardware Software Co-Design for Protein Identification. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

Recently new technologies and research in computational bioinformatics have revolutionized the rate of biological data generation. A vast amount of proteomics and genomics data is contributed to the life science society by researchers especially in the domain of high throughput next generation sequencing methods and it is doubling at every 18 months. Protein identification is a fundamental step in protein sequence analysis and it needs efficient solutions to match the data growth. Rapid methods are focused in the quest for faster protein sequence analysis to scan databases and identify a protein accurately. This benefits the discipline of disease biomarker identification and aid disease diagnosis and prognosis.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: Bio informatics, Reconfigurable, Protein sequencing, ACA algorithm, TD607
Subjects: Others > Electricity
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 04 Aug 2016 07:32
Last Modified: 08 Aug 2016 03:23
URI: http://raiith.iith.ac.in/id/eprint/2622
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