Maybe because experiments can be so much work, molecular biologists are just happy to have the data:
The current absence of a strong theoretical foundation in biology means that there is weak guidance regarding what quantities or variables need to be understood to best inform a general understanding (an explanatory basis) for biological features of interest. An unfortunate result of the absence of theory is that some researchers confuse just having data with ‘understanding’. For example there is a base for collecting and analyzing the most microscopic data: experimental procedures and measurements in a high-throughput transcriptomics study are built around the assumption that transcripts are the primary data to be explained, and in neuroscience, recording from numerous individual neurons. This bias reflects a rather naive belief that the most fundamental data provide a form of explanation for a system, as if enumerating the fundamental particles were equivalent to the standard model in physics.
And here is this kind of thinking in action:
Nurse and Hayles. The cell in an era of systems biology. Cell (2011) vol. 144 (6) pp. 850-854: Continue reading “Confusing data with theory”