Data Science in Biotechnology
With the demand for data analysts on the rise, the biotech industry is poised to maximize the benefits of using big data in research and development. In today’s era of large data sets, statistical methods that facilitate exploratory analyses to detect patterns and generate hypotheses are critical to progress in biology and biotechnology.
When it comes to the study of living systems and organisms to develop or make products, big data analysis is making a significant impact. For example, the NIH’s National Human Genome Research Institute has calculated that decoding an entire genome would have cost approximately $10 million in early 2007, but thanks to the development of next-gen sequencers, it is now nearing only $1,000 per genome. And this work is being done in mere hours.