A review of Cloud computing technologies for comprehensive microRNA analyses. (October 2020)

• Record Type: Journal Article
• Authors: Mrozek, Dariusz
• Is Part Of: Computational biology and chemistry. Volume 88(2020)
• Publication Date: 2020-10
• Subjects: MiRNA -- MicroRNA -- Cloud computing -- Big Data -- Bioinformatics -- Data analysis; Chemistry -- Data processing -- Periodicals; Biology -- Data processing -- Periodicals; Biochemistry -- Data processing; Biology -- Data processing; Molecular biology -- Data processing; Periodicals; Electronic journals; 542.85
• DOI: 10.1016/j.compbiolchem.2020.107365
• Languages: English
• ISSNs: 1476-9271

Abstract

Graphical abstract: Highlights: Cloud computing can support many areas of microRNA analysis. Complex systems for microRNA investigations can be developed with Cloud resources. The potential of using Cloud platforms in various microRNA analyses was identified. Moving to the Cloud should be dictated by the willingness to scale the solution flexibly. Abstract: Cloud computing revolutionized many fields that require ample computational power. Cloud platforms may also provide huge support for microRNA analysis mainly through disclosing scalable resources of different types. In Clouds, these resources are available as services, which simplifies their allocation and releasing. This feature is especially useful during the analysis of large volumes of data, like the one produced by next generation sequencing experiments, which require not only extended storage space but also a distributed computing environment. In this paper, we show which of the Cloud properties and service models can be especially beneficial for microRNA analysis. We also explain the most useful services of the Cloud (including storage space, computational power, web application hosting, machine learning models, and Big Data frameworks) that can be used for microRNA analysis. At the same time, we review several solutions for microRNA and show that the utilization of the Cloud in this field is still weak, but can increase in the future when the awareness of their applicability grows.