The largely untapped potential of big data analytics is a feeding frenzy that has been fueled by the production of many next-generation-sequencing-based data sets that are seeking to answer long-held questions about the biology of human diseases. Although these approaches are likely to be a powerful means of revealing new biological insights, there are a number of substantial challenges that currently hamper efforts to harness the power of big data. This Editorial outlines several such challenges as a means of illustrating that the path to big data revelations is paved with perils that the scientific community must overcome to pursue this important quest
The term "Big data" itself defines the voluminous data and analytics of the big data that requires s...
Big data is more than a matter of size; it is an emerging paradigm of data of very large size (volum...
voluminous amount of data is generated each day from modern information systems and digital technolo...
Abstract: In this paper we have penetrate an era of Big Data. Through better analysis of the large v...
The volume of data is constantly growing due to the explosion of machine-generated data and human i...
Big data has been reported to be revolutionizing many areas of life, including science. It summarize...
Big data are receiving an increasing attention in biomedicine and healthcare. It is therefore import...
Abstract- Big Data concern large-volume, complex, growing data sets with multiple, autonomous source...
In an era of high-throughput sequencing, drilling of biological data to extract hidden valued inform...
This paper focuses on the pivotal role that statisticians are challenged to undertake in the Big Dat...
With advances in technology comes the ability of biologists to generate large amounts of data quickl...
Increased hardware capability has allowed many businesses to store massive amounts of data in the pr...
Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, t...
“Ethical Challenges of Big Data in Public Health ” by Vayena et al. is a timely paper for a num-ber ...
Big Data bring new opportunities to modern society and challenges to data scien-tists. On one hand, ...
The term "Big data" itself defines the voluminous data and analytics of the big data that requires s...
Big data is more than a matter of size; it is an emerging paradigm of data of very large size (volum...
voluminous amount of data is generated each day from modern information systems and digital technolo...
Abstract: In this paper we have penetrate an era of Big Data. Through better analysis of the large v...
The volume of data is constantly growing due to the explosion of machine-generated data and human i...
Big data has been reported to be revolutionizing many areas of life, including science. It summarize...
Big data are receiving an increasing attention in biomedicine and healthcare. It is therefore import...
Abstract- Big Data concern large-volume, complex, growing data sets with multiple, autonomous source...
In an era of high-throughput sequencing, drilling of biological data to extract hidden valued inform...
This paper focuses on the pivotal role that statisticians are challenged to undertake in the Big Dat...
With advances in technology comes the ability of biologists to generate large amounts of data quickl...
Increased hardware capability has allowed many businesses to store massive amounts of data in the pr...
Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, t...
“Ethical Challenges of Big Data in Public Health ” by Vayena et al. is a timely paper for a num-ber ...
Big Data bring new opportunities to modern society and challenges to data scien-tists. On one hand, ...
The term "Big data" itself defines the voluminous data and analytics of the big data that requires s...
Big data is more than a matter of size; it is an emerging paradigm of data of very large size (volum...
voluminous amount of data is generated each day from modern information systems and digital technolo...