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Open AccessJournal ArticleDOI

'Big data', Hadoop and cloud computing in genomics

TLDR
An overview of cloud computing and big data technologies, and how such expertise can be used to deal with biology's big data sets is discussed, together with an overview of the current usage of Hadoop within the bioinformatics community.
About
This article is published in Journal of Biomedical Informatics.The article was published on 2013-10-01 and is currently open access. It has received 403 citations till now. The article focuses on the topics: Data-intensive computing & Big data.

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Citations
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Journal ArticleDOI

The rise of big data on cloud computing

TL;DR: The definition, characteristics, and classification of big data along with some discussions on cloud computing are introduced, and research challenges are investigated, with focus on scalability, availability, data integrity, data transformation, data quality, data heterogeneity, privacy, legal and regulatory issues, and governance.
Journal ArticleDOI

MeDShare: Trust-Less Medical Data Sharing Among Cloud Service Providers via Blockchain

TL;DR: The proposed MeDShare system is blockchain-based and provides data provenance, auditing, and control for shared medical data in cloud repositories among big data entities and employs smart contracts and an access control mechanism to effectively track the behavior of the data.
Journal ArticleDOI

Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science

TL;DR: In this article, the authors look at how data-driven techniques are playing a big role in deciphering processing-structure-property-performance relationships in materials, with illustrative examples of both forward models (property prediction) and inverse models (materials discovery).
Journal ArticleDOI

Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0

TL;DR: By selectively analyzing the literature, this paper systematically survey how the adoption of the above-mentioned Industry 4.0 technologies (and their integration) applied to the health domain is changing the way to provide traditional services and products.
Journal ArticleDOI

Big Data: Survey, Technologies, Opportunities, and Challenges

TL;DR: This study comprehensively surveys and classifies the various attributes of Big data, including its nature, definitions, rapid growth rate, volume, management, analysis, and security, and proposes a data life cycle that uses the technologies and terminologies of Big Data.
References
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Journal ArticleDOI

Bio and health informatics meets cloud : BioVLab as an example

TL;DR: The features of publically available bio and health cloud systems in terms of graphical user interface, external data integration, security and extensibility of features are reviewed and a suggestion of a biological cloud environment concept is suggested.
Journal ArticleDOI

Proteins: form and function.

TL;DR: The primary mechanisms which have contributed to the vastness of the existing, and expanding, protein repertoires are reviewed.
Book ChapterDOI

Prediction of Protein Functions

TL;DR: This review considers the primary mechanisms that have contributed to the vastness of the authors' existing, and expanding, protein repertoires, while also outlining the protocols available for elucidating their true biological function.
Journal ArticleDOI

An overview of the processes shaping protein evolution.

TL;DR: The primary mechanisms which have contributed to the vastness of the authors' existing, and expanding, protein repertoires are reviewed.
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