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dc.contributor.authorMawere, Cephas
dc.contributor.authorZvarevashe, Kudakwashe
dc.contributor.authorSengudzwa, Thamari
dc.contributor.authorPadenga, Tendai
dc.date.accessioned2017-11-15T13:24:25Z
dc.date.available2017-11-15T13:24:25Z
dc.date.issued2014-11
dc.identifier.issn2223-7062
dc.identifier.urihttps://repository.ubuntunet.net/handle/10.20374/156
dc.description.abstractThe significant advances in high- throughput sequencing technologies over the last decade have led to an exponential explosion of biological data. Consequently, bioinformatics is encountering unprecedented challenges in data storage and analysis, memory allocation, computational power and time complexity. It is therefore becoming increasingly disturbing for small laboratories and some large institutions to establish and maintain infrastructures for data processing. This has forced bioinformatics to take a leap-forward from in- house computing to cloud computing to address these issues. In this paper, the authors thus explore the current applications of big data analytics in bioinformatics on the cloud. The findings in each in each use case reveal that cloud computing remarkably improve processing and storage of the continuously growing data in bioinformatics. Though there are some bottlenecks to solve, cloud computing promises to provide a lightweight environment to develop pipelines for prognosis, diagnosis, drug discovery and personalized medicine. The knowledge generated by this review will help scientist who are facing challenges with big data to resort to use cloud computing as an alternative solution and get results faster and without the need to install and maintain or update expensive software. This paper also serves to bring awareness to scientists on the current technologies that are used to manage data.en_US
dc.language.isoenen_US
dc.publisherUbuntuNet Allianceen_US
dc.relation.ispartofseriesProceedings and Report of the UbuntuNet Alliance Annual Conference;7
dc.subjectHigh-throughput Sequencing Technologiesen_US
dc.subjectBioinformaticsen_US
dc.subjectData Processingen_US
dc.subjectIn- House Computingen_US
dc.subjectCloud Computingen_US
dc.subjectBig Data Analyticsen_US
dc.titleCloud-Based Big Data Analytics in Bioinformatics: A Reviewen_US
dc.typeArticleen_US
dc.typePresentationen_US


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