Year: 2025
Type: conference-paper
Abstract: Explosion of biological data due to largescale genomic research and advances in high throughput data generation tools result in massive distributed datasets.Analysis of such large nonrelational, heterogeneous, and distributed datasets is emerging challenge in data driven biomedical industries.Highly complex biological data require unconventional computational approaches and knowledge-based solutions.Distributed datasets need to be reduced to smaller datasets that can be efficiently queried.Since genomic and biological data is generated in large volume and is stored in geographically diverse locations, distributed computing on multiple clusters, our objective here is to assess the feasibility of using Cloud based platform to analyze genomic big data.In this paper we report on the limitation of cloud based platform in the analysis of genomic data.I.
Authors: Hamoud Alshammari, Hassan Bajwa, Jeongkyu Lee
Institution: University of Bridgeport
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4409108941