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A comprehensive review and conceptual framework for cloud computing adoption in bioinformatics

Bayan Hassan Banimfreg

2023Healthcare Analytics61 citationsDOIOpen Access PDF

Abstract

The healthcare industry generates enormous amounts of data, particularly in genomics, which require effective handling, storage, and analysis. Cloud computing offers a promising solution to these challenges. This paper focuses on the adoption of cloud computing in bioinformatics and evaluates current applications in the field. The article also proposes a comprehensive conceptual framework for cloud computing adoption in bioinformatics, which can serve as a valuable reference for practitioners, academics, and organizations transitioning to cloud-based bioinformatics services. While cloud computing and bioinformatics can provide significant benefits and new opportunities in healthcare, data privacy, security, and management concerns are significant challenges that must be addressed. Organizations must implement robust security measures to protect sensitive patient information and ensure regulatory compliance. Additionally, proper data management practices and training for healthcare professionals are necessary to maximize the potential of cloud computing in bioinformatics. Ultimately, the adoption of cloud computing in bioinformatics will pave the way for more personalized and effective healthcare, benefiting patients and healthcare professionals alike.

Topics & Concepts

Cloud computingComputer scienceField (mathematics)Health careData scienceKnowledge managementData securityComputer securityEncryptionPure mathematicsEconomic growthMathematicsEconomicsOperating systemGenetics, Bioinformatics, and Biomedical ResearchCell Image Analysis TechniquesScientific Computing and Data Management
A comprehensive review and conceptual framework for cloud computing adoption in bioinformatics | Litcius