According to IBM, 2.5 quintillion (10¹⁸) bytes of data, or 2.5 million terabytes, is being generated every day (an average computer holds 1 terabyte). 90 percent of all the data that exists, has been generated in the last two years. Furthermore, it's expected that this growth will keep on accelerating. This results in a bottleneck where the processing and interpretation of the data lags behind. And it's not only Twitter, Facebook, Google and Netflix that are faced with these problems. Biomedicine, biology, physics, pharma… are faced with this problem as well.



To illustrate the problem further, a single whole-genome sequencing can be multiple hundred gigabytes in size (exome and RNA is approx. 100 times smaller). It requires a specific set of skills to deal with such a large amount of data. That's where bio-informatics comes in


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This article is related to

Data Science,Bio-Informatics ,Programming