“…So we need to constantly remind ourselves about this when attempting to bridge the gap! In the rest of the article, I will discuss the information that is potentially derivable from genome sequence alone in the foreseeable future, which will need to be integrated, when attempting to understand the whole picture, with information derivable based on other experimental data such as (a) microarray gene expression data [76][77] for inference of the transcription subsystem and associated regulatory subsystem in a cell, (b) tiling arrays [78][79] for identification of cis regulatory elements of operons, (c) ChIP on chip data [80] for identification of interaction partners between transcription regulators and their cis regulatory elements, (d) proteomic data measuring the presence and the quantities of proteins under specific conditions typically collected using mass spectrometry techniques [81][82] , (e) metabolomic data measuring the metabolites as the results of metabolic reactions and their quantities using mass spectrometry or nuclear magnetic resonance (NMR) techniques [83][84] , (f) protein interaction data generated using techniques like yeast two-hybrid arrays [85] or pull-down approaches [86][87] , (g) protein and complex structures generated using X-ray crystallography [88][89] , NMR or electronic cryo-microscopy techniques [90][91] , which can provide detailed information such as how a protein executes a particular reaction, and (h) imaging data for tracing the movements of bio-molecules inside a cell, as well as information derived through systems level modeling and simulational studies as outlined earlier.…”