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Big Data Thinking and Its Biomedical Application

Petar Melih INAL, Nikhil Vishnu

Abstract

Big data thinking gradually rise with the coming era of big data. Big data characteristics could be summarized with 4V: volume, variety, velocity and value. The characteristics of big data thinking could be summed up in integrity, fault tolerance, correlation and intelligence. These characteristics were also the primary differences between big data thinking and small data thinking. The application of big data thinking in biomedical field became more and more widely, and the most commonly used was NCBI database. The process of mining valuable information in NCBI database was big data thinking. And the rise of Meta analysis and TCGA database would illustrate the huge application value of big data thinking in the biomedical field.


Keywords

Big data; Big data thinking; Biomedicine

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References

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DOI: http://dx.doi.org/10.18063/bc.v2i1.859
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