PubMed · 10203815
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E Koonin. 1999. Why genome analysis?. https://doi.org/10.1016/s0168-9525(99)01721-7
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The large volume of genome-scale data that is being produced and made available in databases on the World Wide Web is demanding the development of integrated mathematical models of cellular processes. The analysis of reconstructed metabolic networks as systems leads to the development of an in silico or computer representation of collections of cellular metabolic constituents, their interactions and their integrated function as a whole. The use of quantitative analysis methods to generate testable hypotheses and drive experimentation at a whole-genome level signals the advent of a systemic modeling approach to cellular and molecular biology.
Genome sequencing projects have been undertaken in one of three ways: in a purpose-built and professionally staffed genome centre, by a small number of traditional research laboratories or by an extensive network of traditional research laboratories that are linked by the Internet. Sequencing networks are an attractive option in many circumstances as they are easy to create, bring together diverse types of expertise, integrate the eventual users of a genome sequence with its determination and generally foster a collaborative spirit.