We are living in the era of â€˜data dumpsâ€™ in the post-genomic era. How does one go about sorting out the massive amount of scientific information, extracting what is useful and putting it to work to benefit our health, our environment and the food we eat to keep us healthy?
Imagine all this data as construction material for building a bridge to the answers of many of the questions we have been asking about physiology and metabolism for decades. The data is varied and diverse and in many instances in a code that we have to unravel. There is no biometrics for many of the tools in the toolbox in the post-genomic era; how do we keep up with the ever-accelerating technology being developed as state-of-the-art when within two years the technology might already be primitive or have shown to be unreliable?
Continue reading Applying Hypothesis-Driven Science to Post-Genomics