A review of Cloud computing technologies for comprehensive microRNA analyses

被引:14
|
作者
Mrozek, Dariusz [1 ]
机构
[1] Silesian Tech Univ, Dept Appl Informat, Akad 16, PL-44100 Gliwice, Poland
关键词
MiRNA; MicroRNA; Cloud computing; Big Data; Bioinformatics; Data analysis; MIRNA; APOPTOSIS; GLUCOSE; TARGET;
D O I
10.1016/j.compbiolchem.2020.107365
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 se-quencing 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.
引用
收藏
页数:8
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