 But just as a number of disciplines “went molecular” while molecular biology itself was wrestling with the complexities posed by split genes and overlapping genes, so too are fields going genomic while genomics itself is wrestling with the complexities posed by how a mere 20,000 genes can construct a human while a grain of rice requires 50,000 genes (Baedke 2018; Brigandt, Green, and O’Malley 2017; Green 2017). A related challenge was making sense of the genetic similarity claims. For example, how to interpret the finding that human and pumpkin genomes are 75% similar? Does this finding tell us anything substantive about our overall similarity to pumpkins (Piotrowska 2009)? To help answer such questions, genomics is now supplemented by post-genomics. There is ongoing debate about what actually constitutes post-genomics (Morange 2006), but the general trend is a focus beyond the mere sequence of As, Cs, Ts, and Gs and instead on the complex, cellular mechanisms involved in generating such a variety of protein products from a relatively small number of protein-coding regions in the genome. Post-genomics utilizes the sequence information provided by genomics but then situates it in an analysis of all the other entities and activities involved in the mechanisms of transcription (transcriptomics), regulation (regulomics), metabolism (metabolomics), and expression (proteomics). (See ENCODE Project Consortium 2012; Germain et al. 2014; (see also the entry on  philosophy of systems and synthetic biology).