Analysis of Complex Genomics
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Authors
Qureshi, Abdullah
Issue Date
2020-04-01
Type
Thesis
Language
en_US
Keywords
Alternative Title
Abstract
Modern genomic research is acquiring genomic data from millions of people around the world. By 2025 this number is expected to reach a billion. The need for smart compressive parallel algorithms is also increasing to cope up with the analysis of massive genomic data. This paper discusses the functionality, need, and importance of compressive algorithms. Furthermore, this paper analyses and compares two parallel compressive algorithms, PHYNGSC and DSRC 2. The performance of both algorithms is evaluated with different inputs, and scalability is tested to decide which algorithm is better for genomic analysis.
Description
18 p.
Citation
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License
U.S. copyright laws protect this material. Commercial use or distribution of this material is not permitted without prior written permission of the copyright holder. All rights reserved.