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