DocumentCode :
1791713
Title :
Big data in genomics: An overview
Author :
Bhardwaj, Romil ; Sethi, Ankit ; Nambiar, Raghunath
Author_Institution :
Cisco Syst., Inc., Univ. of Southern California, San Jose, CA, USA
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
45
Lastpage :
49
Abstract :
Studies show that healthcare industry in U.S. alone could save billions of dollars by utilizing big data and analytics technologies. Big Data can improve operational efficiencies, help predict and plan responses to disease epidemics, improve the quality of monitoring of clinical trials, and optimize healthcare spending at all levels from patients to hospital systems to governments. Another key area is genomics sequencing which is expected to be the future of healthcare. In this paper the authors look at the opportunities, work in progress and challenges of genomics with emerging big data and analytics.
Keywords :
Big Data; bioinformatics; genomics; health care; hospitals; Big Data analytics; U.S; clinical trial monitoring quality improvement; disease epidemic response planning; disease epidemic response prediction; genomics sequencing; healthcare industry; healthcare optimization; hospital systems; operational efficiency improvement; Big data; Bioinformatics; DNA; Diseases; Genomics; Sequential analysis; Big Data; Genomics; Healthcare;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data (Big Data), 2014 IEEE International Conference on
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/BigData.2014.7004392
Filename :
7004392
Link To Document :
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