Literature DB >> 23872175

'Big data', Hadoop and cloud computing in genomics.

Aisling O'Driscoll1, Jurate Daugelaite, Roy D Sleator.   

Abstract

Since the completion of the Human Genome project at the turn of the Century, there has been an unprecedented proliferation of genomic sequence data. A consequence of this is that the medical discoveries of the future will largely depend on our ability to process and analyse large genomic data sets, which continue to expand as the cost of sequencing decreases. Herein, we provide an overview of cloud computing and big data technologies, and discuss how such expertise can be used to deal with biology's big data sets. In particular, big data technologies such as the Apache Hadoop project, which provides distributed and parallelised data processing and analysis of petabyte (PB) scale data sets will be discussed, together with an overview of the current usage of Hadoop within the bioinformatics community.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Big data; Bioinformatics; Cloud computing; Genomics; Hadoop

Mesh:

Year:  2013        PMID: 23872175     DOI: 10.1016/j.jbi.2013.07.001

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  68 in total

Review 1.  Under the microscope: From pathogens to probiotics and back.

Authors:  Roy D Sleator
Journal:  Bioengineered       Date:  2015       Impact factor: 3.269

2.  The genetic code. Rewritten, revised, repurposed.

Authors:  Roy D Sleator
Journal:  Artif DNA PNA XNA       Date:  2014

3.  Meeting the challenge: Health information technology's essential role in achieving precision medicine.

Authors:  Teresa Zayas-Cabán; Kevin J Chaney; Courtney C Rogers; Joshua C Denny; P Jon White
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

4.  A Proposed Solution and Future Direction for Blockchain-Based Heterogeneous Medicare Data in Cloud Environment.

Authors:  Harleen Kaur; M Afshar Alam; Roshan Jameel; Ashish Kumar Mourya; Victor Chang
Journal:  J Med Syst       Date:  2018-07-10       Impact factor: 4.460

5.  Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods.

Authors:  Fuyi Li; Yanan Wang; Chen Li; Tatiana T Marquez-Lago; André Leier; Neil D Rawlings; Gholamreza Haffari; Jerico Revote; Tatsuya Akutsu; Kuo-Chen Chou; Anthony W Purcell; Robert N Pike; Geoffrey I Webb; A Ian Smith; Trevor Lithgow; Roger J Daly; James C Whisstock; Jiangning Song
Journal:  Brief Bioinform       Date:  2019-11-27       Impact factor: 11.622

6.  Patient and healthcare provider views on a patient-reported outcomes portal.

Authors:  Robert M Cronin; Douglas Conway; David Condon; Rebecca N Jerome; Daniel W Byrne; Paul A Harris
Journal:  J Am Med Inform Assoc       Date:  2018-11-01       Impact factor: 4.497

Review 7.  Big data - smart health strategies. Findings from the yearbook 2014 special theme.

Authors:  V Koutkias; F Thiessard
Journal:  Yearb Med Inform       Date:  2014-08-15

Review 8.  Big data in medicine is driving big changes.

Authors:  F Martin-Sanchez; K Verspoor
Journal:  Yearb Med Inform       Date:  2014-08-15

9.  A Semantic Big Data Platform for Integrating Heterogeneous Wearable Data in Healthcare.

Authors:  Emna Mezghani; Ernesto Exposito; Khalil Drira; Marcos Da Silveira; Cédric Pruski
Journal:  J Med Syst       Date:  2015-10-21       Impact factor: 4.460

Review 10.  Cloud computing for genomic data analysis and collaboration.

Authors:  Ben Langmead; Abhinav Nellore
Journal:  Nat Rev Genet       Date:  2018-01-30       Impact factor: 53.242

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.