The intersection of Biology and Informatics. Standing at the site of this discipline—sophisticated even in name—I often fall into the illusion of being a movie protagonist hacking the secrets of life through digital means. However, behind the brilliant protein structures and genomic maps on my monitor, there stands a cold, towering wall that every individual scientist must face.
Data: The Privatization of Massive Power
The raw material of bioinformatics is “data.” Yet, the process of obtaining this data is extremely physical and capital-intensive. Gene sequencing equipment (NGS) costing hundreds of millions of won, large-scale laboratories to operate them, and the infrastructure to secure blood samples from tens of thousands of people—these are things that cannot be acquired through an individual scientist’s passion alone.
Data has moved beyond being the foundation of research; it has become “power.” As state-led mega-projects and global Big Tech companies begin to monopolize overwhelming amounts of biological information, independent researchers are easily relegated to being “data consumers” who merely process and analyze the data these giants let flow down. In an era where one cannot even pose a question without capital, bioinformatics is perhaps becoming the most capitalistic form of science.
Sensitive Information: A Cage Named the Law
Biological information is the most intimate and dangerous data in the world. This is because a person’s DNA sequence contains not only their past medical history but also the future of their yet-to-be-born descendants. This specificity forces a strict “ethical cage” upon researchers.
Even the act of looking into data simply out of curiosity about an algorithm or a desire to discover new patterns must pass through countless legal regulations and administrative procedures. In the face of the absolute mandate of personal information protection, an individual scientist’s curiosity is frequently blocked by piles of paperwork. Paradoxically, the unique nature of how information is acquired constrains the very freedom of research.
The Reality Where Infrastructure Outpaces Algorithms
Even a scientist with brilliant mathematical intuition and the ability to design genius algorithms will find their hypothesis remains forever as mere text without the “supercomputing resources” to run it. The task of comparing and simulating the genomes of thousands of people is nearly impossible on a personally owned PC. Ultimately, a scientist must belong to an organization that possesses massive servers to even get a chance to prove their hypothesis. This is the point where identity as a part of a system is demanded more than the ego of an independent “individual scientist.”
Nevertheless, the Final Territory: “Interpretation”
Is there truly nothing left, then, for an individual scientist to do? That is not the case. Even if mega-capital produces the data and the state controls it, hauling “meaning” out of that sequence of meaningless numbers remains the task of a human being.
Systems can pile up data, but they cannot provide the “insight” into how that data will resolve human suffering or explain the mysteries of life. Individual scientists must now cast their own fishing lines beneath the massive data waterfall. Though the acquisition of data may be unequal, capital cannot monopolize the “creativity of interpretation” through which that data is viewed.
Leave a Reply