Genome information will generate more data than social media

[shukla7789]

Genomics is set to account for the bulk of the Big Data universe. Its massive contribution of data will generate the largest proportion of big data, above that generated by social networks, according to a new study.

Their data will be massive, the big data will be larger and longer. Genomics, a science that was born just three decades ago, will become the greatest contribution to Big Data before another decade has passed, according to a group of American scientists who have just published a paper in the journal PLoS Biology.

Social media will not generate as much electronic data as the science of genomics . An ocean of information that is always at high tide will occupy the majority of the overflowing universe of Big Data, say scientists from the Simons Center for Quantitative Biology and data specialists from the University of Illinois at Urbana Champaign.

If social networks and the Internet as a whole generate hundreds of petabytes a year and are constantly growing, genomics also produces some truly insane figures that, according to experts, exceed those figures in volume and rate of growth.


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Biological sciences, a "four-headed beast"
Indeed, no other field will prove to be as prolific in terms of Big Data as the genome, whose objective is to capture, store, process and analyse the biological information encoded in the genome.

If genomic data generation continues at its current rate, it will double every 7 months. In just a decade, the figure could exceed 40 exabytes per year . Specifically, by 2025 , it is estimated that this figure will be between 2 and 40 exabytes.

To date, nearly 250,000 sequences have been generated, equivalent to 25 petabytes, but space requirements will skyrocket and by 2025, it is estimated that 1 billion people will have sequenced their genomes. Furthermore, the number is expected to multiply as the prices of these operations become cheaper, currently only within the reach of the wealthiest.

Translating it into digital language to achieve all these objectives is, according to the report, a major challenge, not without obstacles. The main problems arise when acquiring, storing, distributing and interpreting data, four challenges that make genomics a "four-headed beast," they point out.