Literature DB >> 25195583

Opportunities and challenges provided by cloud repositories for bioinformatics-enabled drug discovery.

Gratien Dalpé1, Yann Joly.   

Abstract

Healthcare-related bioinformatics databases are increasingly offering the possibility to maintain, organize, and distribute DNA sequencing data. Different national and international institutions are currently hosting such databases that offer researchers website platforms where they can obtain sequencing data on which they can perform different types of analysis. Until recently, this process remained mostly one-dimensional, with most analysis concentrated on a limited amount of data. However, newer genome sequencing technology is producing a huge amount of data that current computer facilities are unable to handle. An alternative approach has been to start adopting cloud computing services for combining the information embedded in genomic and model system biology data, patient healthcare records, and clinical trials' data. In this new technological paradigm, researchers use virtual space and computing power from existing commercial or not-for-profit cloud service providers to access, store, and analyze data via different application programming interfaces. Cloud services are an alternative to the need of larger data storage; however, they raise different ethical, legal, and social issues. The purpose of this Commentary is to summarize how cloud computing can contribute to bioinformatics-based drug discovery and to highlight some of the outstanding legal, ethical, and social issues that are inherent in the use of cloud services.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  bioinformatics drug discovery; cloud computing; personalized medicine; privacy; security

Mesh:

Year:  2014        PMID: 25195583     DOI: 10.1002/ddr.21211

Source DB:  PubMed          Journal:  Drug Dev Res        ISSN: 0272-4391            Impact factor:   4.360


  2 in total

1.  From Molecules to Patients: The Clinical Applications of Translational Bioinformatics.

Authors:  K Regan; P R O Payne
Journal:  Yearb Med Inform       Date:  2015-08-13

2.  A comparison of smartphones to paper-based questionnaires for routine influenza sentinel surveillance, Kenya, 2011-2012.

Authors:  Henry N Njuguna; Deborah L Caselton; Geoffrey O Arunga; Gideon O Emukule; Dennis K Kinyanjui; Rosalia M Kalani; Carl Kinkade; Phillip M Muthoka; Mark A Katz; Joshua A Mott
Journal:  BMC Med Inform Decis Mak       Date:  2014-12-24       Impact factor: 2.796

  2 in total

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