Repertoire equations express the relationship of one biological
part to another quantitatively. This relationship is defined
by fitting data pairs to a regression equation that displays a
coefficient of determination (r2)
close to 1.0. When the database contains at least three
entries for the same data pair, they are added to the biology
blueprint. The blueprint therefore contains a summary of all
the relationships - expressed mathematically as data pairs - that
biology uses to construct its hierarchy of size. This defines
the organization of biology as a collection of parts arranged by
rule (proportions of small whole numbers) and by occurrence (frequency distributions).
This detailed information about
connections will likely provide some of the clues that will be
needed to work out the fine points of genetic mechanisms.
Recall that these mechanisms are operating at all the levels of the
biological hierarchy and produce both local and global effects.
By unfolding the complexity of gene products into simple
relationships (connections), we can observe - at a much higher
resolution - genes in the act of problem solving. Such
information, for example, can tell us what works, what
doesn't, and what needs fixing.
- Blueprint - Out: The table of control data carry a green
label, experimental blue.
- Blueprint - SQL: Connections can be found by name (X Name, Y
Name) and/or by proportion (X:Y),