Figure 1.
Data science analysis stack. Large-scale projects in quantitative biology must address a multilayer stack of approaches moving toward increasing levels of abstraction. At its base, the experiments begin with the technologies for collecting data and metadata from various biological sensors. The processing then proceeds upward through the input/output (IO) and Compute layers that can support large-scale data processing, statistical and analysis software layers that can summarize and identify trends in the data, until finally biological results can be achieved at the top, leveraging the domain knowledge of the problem.
